AI Security Researcher at Wiz, Inc.

Senior

Model Risk Management

Risk Governance

Model Lifecycle Governance

+4 more

Job Description

About the Job Location: Taguig Corporate Title: Senior Manager Work Arrangement: Hybrid Our Risk Management Department is looking for experienced professionals to join us in Taguig with the role of Risk Officer - Model Risk Management. In this role you will provide analytical, coordination, and governance support for the Bank's enterprise-level Model Risk Management (MRM) function, ensuring model risks are inventoried, monitored, escalated, and integrated into ERM, Risk Appetite, ICAAP, and senior management reporting. You will also support independent model validation activities and governance processes as part of the second line of defense, ensuring outputs are defensible, audit-ready, and aligned with regulatory and MRM standards. Your dream. Our focus. East West Banking Corporation (EastWest) is one of the largest universal banks in the Philippines, and is committed to continuously invest in people and in process, product, and service enhancements, and embrace new ideas to enhance the EastWest experience. We empower our employees to drive their careers and are committed to provide the runway for them to grow. We value teamwork and individual initiative. Join us and be part of a highly engaged team, and a workplace that promotes development and goal attainment. Whether you're just starting out, or already a seasoned professional, EastWest can help you unleash your potential, and bridge the gap between dream to success. What the role will entail Maintain model inventory with clear documentation of purpose, ownership, lifecycle stage, and risk classification Apply and update criteria for materiality, tiering, and risk classification in line with the Model Risk Management Framework Perform consistency checks to ensure all models meeting governance definitions are properly captured and monitored Consolidate model information including validation status, findings, and limitations into enterprise-level risk views Identify risk concentrations and dependencies across ICAAP, ECL/IFRS 9, stress testing, pricing, and strategic processes Track remediation status of validation findings, escalate high-risk issues, and support management visibility Prepare dashboards and working papers for Senior Management and the Risk Management Committee What we're looking for Bachelor's degree in Finance, Economics, Mathematics, Statistics, Engineering, Business Analytics, Information Systems, or related discipline; Master's degree is an advantage At least 3 to 7 years of relevant experience in model risk management, quantitative risk oversight, enterprise risk, capital analytics, or related functions within a regulated financial institution Knowledge of frameworks including model lifecycle governance, materiality and tiering concepts, ICAAP and stress testing linkages, and independent validation techniques Strong analytical skills with attention to detail, professional skepticism, and ability to translate technical findings into governance-ready insights Effectiveness in control within a second-line control environment, ensuring sound risk oversight and governance alignment What you can expect from joining our team Career development and training opportunities Competitive salary package and benefits Performance-based incentives and recognition programs to reward high-performing individuals Opportunity to work with industry experts and be mentored by them Defined career progression paths to guide you in your professional growth

Requirements

Bachelor's degree in Finance, Economics, Mathematics, Statistics, Engineering, Business Analytics, Information Systems, or related discipline
At least 3 to 7 years of relevant experience in model risk management, quantitative risk oversight, enterprise risk, capital analytics, or related functions within a regulated financial institution
Knowledge of frameworks including model lifecycle governance, materiality and tiering concepts, ICAAP and stress testing linkages, and independent validation techniques
Strong analytical skills with attention to detail, professional skepticism, and ability to translate technical findings into governance-ready insights

Benefits

Company Retreats
Conference Budget
Coworking Space
Dental Insurance
Disability Insurance
Employee Assistance Program
Employee Discounts
Flexible Hours

Skills

Model Risk Management Risk Governance Model Lifecycle Governance Independent Validation Materiality and Tiering Concepts ICAAP and Stress Testing Linkages Independent Validation Techniques

Model Risk Management Team Lead

EastWest Bank

Full Time

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

Model Risk Management

Capital Management

Model Lifecycle Governance

+4 more

Job Description

About the Job Location: Taguig Corporate Title: Assistant Vice President Work Arrangement: Hybrid Our Risk Management Department is looking for experienced professionals to join us in Taguig with the role of Model Risk Management Team Lead. In this role you will provide enterprise-level ownership and governance of the Bank's Model Risk Management framework, ensuring risks from quantitative, statistical, and judgment-based models are identified, monitored, escalated, and integrated into enterprise risk governance. You will also embed model risk considerations into the Risk Appetite Statement, ICAAP, stress testing, recovery planning, and strategic decision-making while maintaining clear separation from independent validation execution. Your dream. Our focus. East West Banking Corporation (EastWest) is one of the largest universal banks in the Philippines, and is committed to continuously invest in people and in process, product, and service enhancements, and embrace new ideas to enhance the EastWest experience. We empower our employees to drive their careers and are committed to provide the runway for them to grow. We value teamwork and individual initiative. Join us and be part of a highly engaged team, and a workplace that promotes development and goal attainment. Whether you're just starting out, or already a seasoned professional, EastWest can help you unleash your potential, and bridge the gap between dream to success. What the role will entail Own and enhance policy and framework, ensuring alignment with BSP guidelines, Basel standards, and enterprise ERM, ICAAP, and Risk Appetite frameworks Define governance standards for model lifecycle, materiality, risk classification, escalation thresholds, and reporting Maintain centralized inventory with complete capture of models, clear ownership, defined purpose, lifecycle status, and risk tiering Aggregate model information to identify concentrations, dependencies, and overreliance across ICAAP, ECL, stress testing, pricing, and strategic models Translate findings into consolidated enterprise risk views for Senior Management and the Board Oversee validation governance by reviewing outcomes, identifying systemic issues, and ensuring timely escalation in line with risk appetite Prepare dashboards and reports for Senior Management, the Risk Management Committee, and Board-level oversight What we're looking for Bachelor's degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitative discipline; Master's degree is an advantage At least 8 to 12 years of relevant experience in model risk management, quantitative risk oversight, capital management, or enterprise risk management within a regulated financial institution Technical knowledge of Model Risk Management frameworks, lifecycle governance, materiality and tiering, ICAAP and stress testing linkages, and oversight of credit, ECL/IFRS9, pricing, and capital models Strong ownership of enterprise outcomes with sound judgment and ability to provide credible challenge at senior levels Balance of rigor between technical expertise and practical governance discipline What you can expect from joining our team Career development and training opportunities Competitive salary package and benefits Performance-based incentives and recognition programs to reward high-performing individuals Opportunity to work with industry experts and be mentored by them Defined career progression paths to guide you in your professional growth

Requirements

Bachelor's degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitative discipline
At least 8 to 12 years of relevant experience in model risk management, quantitative risk oversight, capital management, or enterprise risk management within a regulated financial institution
Technical knowledge of Model Risk Management frameworks, lifecycle governance, materiality and tiering, ICAAP and stress testing linkages, and oversight of credit, ECL/IFRS9, pricing, and capital models
Strong ownership of enterprise outcomes with sound judgment

Benefits

Company Retreats
Conference Budget
Coworking Space
Dental Insurance
Disability Insurance
Employee Assistance Program
Employee Discounts
Flexible Hours

Skills

Model Risk Management Capital Management Model Lifecycle Governance ICAAP and Stress Testing Linkages Enterprise Risk Management Quantitative Risk Oversight Materiality and Tiering

AI Security Solutions Architect

Full Time

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

Python

Node.JS

Go

+3 more

Job Description

Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! The Field AI Engineering team is a unique group of professionals combining strong technical expertise, rooted in a software engineering background, with excellent customer-facing skills. In this role you will lead major customer engagements, both remotely and on-site, and tackle the most complex challenges faced by our customers. Some of these challenges will be addressed in-house by designing and developing tailored solutions for customer environments. Others will require close collaboration with our R&D and Product teams to deliver scalable and impactful solutions. This position is ideal for someone who enjoys solving hard technical problems while working directly with customers and influencing product direction. Responsibilities Drive AI Security deal success by handling complex technical sales engagements. Lead and participate in customer meetings, including technical deep dives, solution design sessions, and executive-level discussions, both remotely and on-site. Collaborate closely with cross-functional teams, including Sales, Product, R&D, Marketing, Customer Success, and Professional Services, to deliver end-to-end customer solutions. Design and develop custom features, integrations, and tailored solutions to address customer-specific environments and challenges. Lead and support complex customer deployments, from initial design through implementation and validation. Act as a hands-on technical expert throughout the customer lifecycle, contributing wherever needed to ensure successful outcomes. Requirements 5+ years of hands-on programming in Python, Node.js, or Go (you know one well, and you’re comfortable picking up the others). 1+ years working with AWS, Kubernetes, and RDS (you know your way around cloud-native deployments, scaling, and persistence). Proven experience in customer-facing roles (e.g., solutions engineering or product management), with a track record of translating customer needs into product feedback, integrations, and end-to-end solutions - Advantage B.Sc. in Computer Science / Engineering or equivalent experience from a technological army unit. Why join us Be part of a lean, elite team where your work doesn’t just sit in a backlog — you’ll ship real value, frequently, and see the impact. This is a unique opportunity to combine deep technical expertise with a highly customer-facing role. You’ll work on some of the most complex and dynamic customer scenarios, designing and delivering tailored solutions. This role offers significant impact, constant learning, and the chance to shape both customer outcomes and product direction.

Requirements

5+ years of hands-on programming in Python, Node.js, or Go
1+ years working with AWS, Kubernetes, and RDS
Proven experience in customer-facing roles
B.Sc. in Computer Science / Engineering or equivalent experience

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Python Node.JS Go AWS Kubernetes RDS

AI Security Solutions Architect

Full Time

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

Python

Node.JS

Go

+3 more

Job Description

Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! The Field AI Engineering team is a unique group of professionals combining strong technical expertise, rooted in a software engineering background, with excellent customer-facing skills. In this role you will lead major customer engagements, both remotely and on-site, and tackle the most complex challenges faced by our customers. Some of these challenges will be addressed in-house by designing and developing tailored solutions for customer environments. Others will require close collaboration with our R&D and Product teams to deliver scalable and impactful solutions. This position is ideal for someone who enjoys solving hard technical problems while working directly with customers and influencing product direction. Responsibilities Drive AI Security deal success by handling complex technical sales engagements. Lead and participate in customer meetings, including technical deep dives, solution design sessions, and executive-level discussions, both remotely and on-site. Collaborate closely with cross-functional teams, including Sales, Product, R&D, Marketing, Customer Success, and Professional Services, to deliver end-to-end customer solutions. Design and develop custom features, integrations, and tailored solutions to address customer-specific environments and challenges. Lead and support complex customer deployments, from initial design through implementation and validation. Act as a hands-on technical expert throughout the customer lifecycle, contributing wherever needed to ensure successful outcomes. Requirements 5+ years of hands-on programming in Python, Node.js, or Go (you know one well, and you’re comfortable picking up the others). 1+ years working with AWS, Kubernetes, and RDS (you know your way around cloud-native deployments, scaling, and persistence). Proven experience in customer-facing roles (e.g., solutions engineering or product management), with a track record of translating customer needs into product feedback, integrations, and end-to-end solutions - Advantage B.Sc. in Computer Science / Engineering or equivalent experience from a technological army unit. Why join us Be part of a lean, elite team where your work doesn’t just sit in a backlog — you’ll ship real value, frequently, and see the impact. This is a unique opportunity to combine deep technical expertise with a highly customer-facing role. You’ll work on some of the most complex and dynamic customer scenarios, designing and delivering tailored solutions. This role offers significant impact, constant learning, and the chance to shape both customer outcomes and product direction.

Requirements

5+ years of hands-on programming in Python, Node.js, or Go
1+ years working with AWS, Kubernetes, and RDS
Proven experience in customer-facing roles
B.Sc. in Computer Science / Engineering or equivalent experience

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Python Node.JS Go AWS Kubernetes RDS

AI Security Solutions Architect

Full Time

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

Python

Node.JS

Go

+3 more

Job Description

Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! The Field AI Engineering team is a unique group of professionals combining strong technical expertise, rooted in a software engineering background, with excellent customer-facing skills. In this role you will lead major customer engagements, both remotely and on-site, and tackle the most complex challenges faced by our customers. Some of these challenges will be addressed in-house by designing and developing tailored solutions for customer environments. Others will require close collaboration with our R&D and Product teams to deliver scalable and impactful solutions. This position is ideal for someone who enjoys solving hard technical problems while working directly with customers and influencing product direction. Responsibilities Drive AI Security deal success by handling complex technical sales engagements. Lead and participate in customer meetings, including technical deep dives, solution design sessions, and executive-level discussions, both remotely and on-site. Collaborate closely with cross-functional teams, including Sales, Product, R&D, Marketing, Customer Success, and Professional Services, to deliver end-to-end customer solutions. Design and develop custom features, integrations, and tailored solutions to address customer-specific environments and challenges. Lead and support complex customer deployments, from initial design through implementation and validation. Act as a hands-on technical expert throughout the customer lifecycle, contributing wherever needed to ensure successful outcomes. Requirements 5+ years of hands-on programming in Python, Node.js, or Go (you know one well, and you’re comfortable picking up the others). 1+ years working with AWS, Kubernetes, and RDS (you know your way around cloud-native deployments, scaling, and persistence). Proven experience in customer-facing roles (e.g., solutions engineering or product management), with a track record of translating customer needs into product feedback, integrations, and end-to-end solutions - Advantage B.Sc. in Computer Science / Engineering or equivalent experience from a technological army unit. Why join us Be part of a lean, elite team where your work doesn’t just sit in a backlog — you’ll ship real value, frequently, and see the impact. This is a unique opportunity to combine deep technical expertise with a highly customer-facing role. You’ll work on some of the most complex and dynamic customer scenarios, designing and delivering tailored solutions. This role offers significant impact, constant learning, and the chance to shape both customer outcomes and product direction.

Requirements

5+ years of hands-on programming in Python, Node.js, or Go
1+ years working with AWS, Kubernetes, and RDS
Proven experience in customer-facing roles
B.Sc. in Computer Science / Engineering or equivalent experience

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Python Node.JS Go AWS Kubernetes RDS

AI Security Solutions Architect

Full Time

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

Python

Node.JS

Go

+3 more

Job Description

Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! The Field AI Engineering team is a unique group of professionals combining strong technical expertise, rooted in a software engineering background, with excellent customer-facing skills. In this role you will lead major customer engagements, both remotely and on-site, and tackle the most complex challenges faced by our customers. Some of these challenges will be addressed in-house by designing and developing tailored solutions for customer environments. Others will require close collaboration with our R&D and Product teams to deliver scalable and impactful solutions. This position is ideal for someone who enjoys solving hard technical problems while working directly with customers and influencing product direction. Responsibilities Drive AI Security deal success by handling complex technical sales engagements. Lead and participate in customer meetings, including technical deep dives, solution design sessions, and executive-level discussions, both remotely and on-site. Collaborate closely with cross-functional teams, including Sales, Product, R&D, Marketing, Customer Success, and Professional Services, to deliver end-to-end customer solutions. Design and develop custom features, integrations, and tailored solutions to address customer-specific environments and challenges. Lead and support complex customer deployments, from initial design through implementation and validation. Act as a hands-on technical expert throughout the customer lifecycle, contributing wherever needed to ensure successful outcomes. Requirements 5+ years of hands-on programming in Python, Node.js, or Go (you know one well, and you’re comfortable picking up the others). 1+ years working with AWS, Kubernetes, and RDS (you know your way around cloud-native deployments, scaling, and persistence). Proven experience in customer-facing roles (e.g., solutions engineering or product management), with a track record of translating customer needs into product feedback, integrations, and end-to-end solutions - Advantage B.Sc. in Computer Science / Engineering or equivalent experience from a technological army unit. Why join us Be part of a lean, elite team where your work doesn’t just sit in a backlog — you’ll ship real value, frequently, and see the impact. This is a unique opportunity to combine deep technical expertise with a highly customer-facing role. You’ll work on some of the most complex and dynamic customer scenarios, designing and delivering tailored solutions. This role offers significant impact, constant learning, and the chance to shape both customer outcomes and product direction.

Requirements

5+ years of hands-on programming in Python, Node.js, or Go
1+ years working with AWS, Kubernetes, and RDS
Proven experience in customer-facing roles
B.Sc. in Computer Science / Engineering or equivalent experience

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Python Node.JS Go AWS Kubernetes RDS

Manager, AI Risk Management

American Express

Full Time

$123k - $215.25k

2 weeks ago

Worldwide

Senior

Generative AI

Agentic AI

Risk Management

+4 more

Job Description

At American Express, our culture is built on a 175-year history of innovation, shared values [https://www.americanexpress.com/en-us/company/who-we-are/] and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Functional Description Global Risk & Compliance (GRC) independently oversees the company’s compliance, risk-taking and risk management activities, including the comprehensive identification, management, and mitigation of risks within the Company’s risk appetite. GRC ensures the company operates in a safe, sound and fully compliant manner within all applicable regulatory expectations. We create and maintain the overall risk management framework while ensuring legal and regulatory compliance. We are passionate about our commitment to drive the company’s goals of growth and progress by creating a culture of awareness and proactivity around regulatory matters, and by partnering closely with business units across the enterprise to ensure we deliver maximum value to our shareholders and our customers efficiently and effectively. The Technical Risk Management (TRM) team, within the GRC organization and led by the Chief Risk Officer, is responsible for setting up frameworks for emerging risk types, including technologies like Generative AI (Gen AI) and Agentic AI, and their adoption by the Company while ensuring safety and soundness. The Manager, Artificial Intelligence (AI) Risk Management is a role focused on managing the risks associated with the development and deployment of AI within American Express. The incumbent will be responsible for executing on the overall risk management and governance framework for non-Traditional AI adoption at the Company. We are seeking an experienced manager to be a part of this exciting journey. How will you make an impact in this role? * Implement and maintain the AI risk management framework, AI risk management policy, and AI risk capabilities to identify, measure, manage, monitor, and report risks related to AI. * Identify heightened and novel risks presented by non-Traditional AI and oversee controls in line with AXP’s risk and control framework. * Execute monitoring and testing processes to continuously evaluate AI risks. * Identify emerging AI risk themes. * Collaborate with leadership across Technology, Innovation, Risk, Legal, Data and other organizations to report on the organization’s AI risk profile for AI. * Develop Board and management reporting on key AI risk metrics. * Design and develop AI risk training resources. Minimum Qualifications * Minimum of five-years experience in AI Risk Management and/or design and implementation of AI guardrails. * Strong background in risk management, compliance, and governance. * Deep technical expertise in AI technologies and their potential risks. * Advanced degree in Technology, Engineering, Risk Management, Computer Science, Mathematics, or a related discipline is preferred. * Knowledgeable of relevant Financial Services Industry regulations globally, AI standards, and AI ethical principles. Preferred Qualifications * Proven track record in AI-enabled risk management is desirable. * Intellectual curiosity. * Ability to collaboratively deliver outcomes and results in an ambiguous environment. * Excellent communication and leadership skills to influence cross-functional teams. * Relevant industry certifications (e.g., GARP’s Risk and AI). At American Express, our culture is built on a 175-year history of innovation, shared values [https://www.americanexpress.com/en-us/company/who-we-are/]and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Requirements

Implement and maintain the AI risk management framework, AI risk management policy, and AI risk capabilities to identify, measure, manage, monitor, and report risks related to AI.
Identify heightened and novel risks presented by non-Traditional AI and oversee controls in line with AXP’s risk and control framework.
Execute monitoring and testing processes to continuously evaluate AI risks.
Identify emerging AI risk themes.
Collaborate with leadership across Technology, Innovation, Risk, Legal, Data and other organizations to report on the organization’s AI risk profile for AI.
Develop Board reports on AI risk profile and mitigation strategies.

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work

Skills

Generative AI Agentic AI Risk Management Compliance Regulatory Expectations Governance Risk Framework

Director of Information Security & AI Governance

Flagstone Group LTD

Full Time

$150,000 - $250,000*

2 weeks ago

Worldwide

Senior

Microsoft 365

AI governance framework

Policy

+5 more

Job Description

What is Flagstone? Flagstone is many things. An online savings platform, reinventing how individuals, businesses, and charities manage, protect, and grow their cash. A diverse group of people, bound by a collaborative spirit, and shared purpose. And lastly, a thriving, profitable business — where smart people do their best work. Each definition shares a common thread: our unique culture. It's our pride and joy. And our competitive advantage. A feel for our culture: To revolutionise the savings market, we need to be at our best. But high performance takes more than talent — it takes a culture of kindness, respect, and growth. That's why we're building a diverse, inclusive community, where your voice is heard and valued. Where, with close support and room to develop, you can surpass even your own expectations. And be rewarded for it. We may not change the world, but we can change the world of financial technology. And all it takes is a winning mix of drive, talent, and empathy. Our culture celebrates all three. But enough about us. Let's talk about you. Does this sound like you? You're a senior technology leader with a hands-on background in information security, and you've spent your career building things, not just governing them. You understand that in a world where AI is reshaping how businesses operate, security and governance aren't a brake on progress, they're what make progress sustainable. You're genuinely excited by AI. You use it in your own work, you follow where it's going, and you understand both the opportunity and the risk it presents in a regulated environment. You don't need a fully formed AI governance framework on your CV, but you need the mindset, the curiosity, and the conviction to build one. You're comfortable with ambiguity, energised by a blank sheet, and ready to shape what a world class internal technology function looks like when the economics of building software are changing fast. What you'll do Flagstone is at a genuine inflection point in how it thinks about technology, security, and AI, and this role is at the centre of it. As Director of Information Security & AI Governance, you'll report directly to the CTO and own three things that sit at the heart of how we grow, with IT Operations as part of your broader remit: Information Security Own Flagstone's information security strategy, aligned to our regulatory obligations and risk appetite Lead and develop the InfoSec team, driving ISO 27001 to certification and building the programme to sustain it Own our security posture across Microsoft 365, incident response, vulnerability management, and third-party risk Work closely with the Head of GRC to embed security controls within the broader risk framework AI Governance Own the AI governance framework - policy, risk classification, tool approval, and ongoing oversight of AI adoption across the business Chair an AI governance forum across engineering, product, risk, compliance, and legal Work hands-on with the tooling - we're already deploying LLM integrations and agentic workflows, and governance needs to work in practice, not just on paper Internal Technology Strategy Lead the strategic question at the heart of this role: what does world-class internal technology look like when AI changes the economics of building? Own the vision for how Flagstone builds, buys, and operates internal technology, and make the case for change where the evidence supports it Lead the IT function: end-user computing, device management, network infrastructure, and internal tooling for a hybrid workforce What you'll bring A hands-on background in information security, where you've built or scaled a security programme, not just inherited one Real experience owning both IT and security, with the judgement to know when to be strategic and when to roll your sleeves up ISO 27001 implementation or programme ownership experience Genuine enthusiasm for AI and how it's changing the way businesses operate - you use the tools yourself, you follow the space, and you have a credible point of view on where it's going Working knowledge of AI governance, with the intellectual curiosity and learning velocity to develop it fast Director level people leadership across multi disciplinary teams, with the presence to operate at board level and with regulators Commercial instinct on build-vs-buy - you understand total cost of ownership and when building creates durable advantage Experience in a regulated environment, ideally fintech, payments, or financial services would be preferred Backgrounds we're interest in We're deliberately open on background for this one. Whether you've come up through InfoSec, IT, engineering, or a combination of all three. What matters is that you've been close to the work, you've built things, and you're genuinely excited about where AI is taking internal technology. We'd love to hear from people who have worked in product led, regulated businesses where the pace is fast and the remit is broad. If your profile doesn't tick every box but the role sounds like the right challenge, please apply anyway. How we reward you At Flagstone, the benefits extend beyond false gifts like "fruit and snacks". Instead, we invest in your health, wealth, and professional development. Here's a selection of our benefits: Hybrid working - Spend at least 1 day a week with your team in our collaborative London office Competitive bonus scheme - designed to reward and recognise high performance Flexible benefits budget - a pot to fund meaningful benefits for you, whether it's hormone or fertility testing, cancer screening, neuro-diversity coaching or something that matters for you. A range of salary sacrifice options to help you make tax efficient savings on electric cars, nursery schemes, home and tech goods. Around the World scheme - 3 months work from anywhere scheme Mental wellbeing support – Access therapy and mental health sessions through Spill Learning and development – £1,000 personal development budget to help you grow in your role. Private health care - Enjoy all the benefits AXA has to offer, including reduced gym memberships and medical history disregarded Medical cash plan - To help you with the costs of dental and optical expenses Life insurance and Income Protection- four times your annual salary for peace of mind Matched pension contributions up to 5% 25 days holiday - plus bank holidays, well-being days and volunteering days Enhanced Parental Leave – enhanced maternity, paternity and adoption pay. All are welcome. At Flagstone, we're assembling a diverse team that defies our industry's norms. Think this role could suit you? We encourage you to apply, no matter your background. #LI-Hybrid

Requirements

Hands-on background in information security
Experience with AI governance
Ability to build and implement AI governance framework
Strong leadership skills
Experience with Microsoft 365
Knowledge of ISO 27001
Ability to work with cross-functional teams
Strong communication skills

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget

Skills

Microsoft 365 AI governance framework Policy ISO 27001 Vulnerability management Third-party Risk Risk Classification Tool Approval

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Spanish LATAM

Contract

$0.006k - $0.009k

2 weeks ago

Worldwide

Mid

Large Language Models

Linguistics

Annotation

+4 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 19:30 – 04:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $6.00 USD to $9.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Spanish, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Review AI-generated responses and rate them for clarity, correctness, and relevance.
Annotate and label content based on project-specific guidelines.
Follow detailed written instructions and apply them consistently.
Generate or evaluate prompts depending on assignment type.
Work with QA Leads to apply feedback and continuously improve task quality.
Report completed work daily and meet productivity and quality standards.

Benefits

Flexible Hours
Health Insurance
Home Office Budget
Internet Stipend
Learning Budget
Paid Time Off
Remote Work

Skills

Large Language Models Linguistics Annotation Evaluation Spanish AI-generated responses Translation

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Spanish LATAM

Contract

$0.006k - $0.009k

2 weeks ago

Worldwide

Mid

Spanish

Large Language Models

AI-generated responses

+4 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 19:30 – 04:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $6.00 USD to $9.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Spanish, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Review AI-generated responses and rate them for clarity, correctness, and relevance.
Annotate and label content based on project-specific guidelines.
Follow detailed written instructions and apply them consistently.
Generate or evaluate prompts depending on assignment type.
Work with QA Leads to apply feedback and continuously improve task quality.
Report completed work daily and meet productivity and quality standards.
Be detail-oriented and enjoy accuracy-based work.
Be comfortable working independently with minimal supervision.

Benefits

Flexible Hours
Health Insurance
Home Office Budget
Internet Stipend
Learning Budget
Paid Time Off
Remote Work

Skills

Spanish Large Language Models AI-generated responses Annotation Evaluation Translation Linguistics

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Spanish LATAM

Contract

$0.006k - $0.009k

2 weeks ago

Worldwide

Mid

Spanish

Large Language Models

AI-generated responses

+4 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 19:30 – 04:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $6.00 USD to $9.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Spanish, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Review AI-generated responses and rate them for clarity, correctness, and relevance.
Annotate and label content based on project-specific guidelines.
Follow detailed written instructions and apply them consistently.
Generate or evaluate prompts depending on assignment type.
Work with QA Leads to apply feedback and continuously improve task quality.
Report completed work daily and meet productivity and quality standards.
Be detail-oriented and enjoy accuracy-based work.
Have strong reading comprehension and critical thinking skills.

Benefits

Flexible Hours
Health Insurance
Home Office Budget
Internet Stipend
Learning Budget
Paid Time Off
Remote Work

Skills

Spanish Large Language Models AI-generated responses Annotation Evaluation Translation Linguistics

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Spanish LATAM

Contract

$0.006k - $0.009k

2 weeks ago

Worldwide

Mid

Spanish

Large Language Models

AI-generated responses

+4 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 19:30 – 04:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $6.00 USD to $9.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Spanish, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Review AI-generated responses and rate them for clarity, correctness, and relevance.
Annotate and label content based on project-specific guidelines.
Follow detailed written instructions and apply them consistently.
Generate or evaluate prompts depending on assignment type.
Work with QA Leads to apply feedback and continuously improve task quality.
Report completed work daily and meet productivity and quality standards.
Be detail-oriented and enjoy accuracy-based work.
Be comfortable working independently with minimal supervision.

Benefits

Flexible Hours
Health Insurance
Home Office Budget
Internet Stipend
Learning Budget
Paid Time Off
Remote Work

Skills

Spanish Large Language Models AI-generated responses Annotation Evaluation Translation Linguistics

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Spanish LATAM

Contract

$0.006k - $0.009k

2 weeks ago

Worldwide

Mid

Spanish

Large Language Models

AI-generated responses

+4 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 19:30 – 04:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $6.00 USD to $9.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Spanish, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Review AI-generated responses and rate them for clarity, correctness, and relevance.
Annotate and label content based on project-specific guidelines.
Follow detailed written instructions and apply them consistently.
Generate or evaluate prompts depending on assignment type.
Work with QA Leads to apply feedback and continuously improve task quality.
Report completed work daily and meet productivity and quality standards.

Benefits

Flexible Hours
Health Insurance
Home Office Budget
Internet Stipend
Learning Budget
Paid Time Off
Remote Work

Skills

Spanish Large Language Models AI-generated responses Annotation Evaluation Translation Linguistics

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Spanish LATAM

Contract

$0.006k - $0.009k

2 weeks ago

Worldwide

Mid

Spanish

Large Language Models

AI-generated responses

+4 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 19:30 – 04:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $6.00 USD to $9.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Spanish, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Review AI-generated responses and rate them for clarity, correctness, and relevance.
Annotate and label content based on project-specific guidelines.
Follow detailed written instructions and apply them consistently.
Generate or evaluate prompts depending on assignment type.
Work with QA Leads to apply feedback and continuously improve task quality.
Report completed work daily and meet productivity and quality standards.
Be detail-oriented and enjoy accuracy-based work.
Be comfortable working independently with minimal supervision.

Benefits

Flexible Hours
Health Insurance
Home Office Budget
Internet Stipend
Learning Budget
Paid Time Off
Remote Work

Skills

Spanish Large Language Models AI-generated responses Annotation Evaluation Translation Linguistics

Senior AI Security Engineer

Westpac Group

Full Time

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

API Security

Application Security

Container Security

+5 more

Job Description

What’s the Role: The Senior AI Security Engineer is a senior technical authority responsible for the development, delivery, and operation of enterprise-scale application security capabilities across the organisation. The role owns and maintains strategic security platforms and services, providing leadership across application security controls to ensure solutions are compliant, resilient, and fit for purpose. It enables secure software delivery at scale by embedding robust security practices within a complex, regulated technology environment while supporting the developer community Key Responsibilities: * Act as a hands-on technical authority for application security, providing expertise across modern security controls in enterprise environments. * Design and deliver application security solutions covering SAST, software composition analysis, secrets management, container security, and supply chain security. * Own and operate security platforms and services, ensuring they are compliant, resilient, and available to engineering teams. * Drive continuous improvement of security tooling, focusing on scalability, sustainability, and effectiveness across development platforms. * Partner with engineering and platform teams to embed security into developer workflows, enabling automated and repeatable outcomes. * Lead automation of vulnerability identification, remediation, and prevention, while supporting teams through practical security guidance and education. What do I need? * Proven ability to own and operate application security platforms end-to-end, ensuring availability, compliance, and ongoing effectiveness. * Strong track record delivering high-quality, reliable, and scalable application security solutions in enterprise environments. * Ability to make risk-based security decisions, balancing security requirements with engineering and delivery outcomes. * Experience defining and maintaining enterprise-wide security standards, patterns, and authoritative guidance. * Capability to identify and address systemic security risks and control gaps, with appropriate escalation where required. * Demonstrated impact in improving application security maturity, including reducing repeat vulnerabilities and strengthening early detection across the SDLC. Why join us? We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return, we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that: * Special offers on banking products and discounts from top brands, including generous employee only mortgage rates! * Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave. * Tailored learning and development opportunities to help your grow your career within the bank. * Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives. Create your future today To get started, simply click on the APPLY or APPLY NOW button We’re all about creating a supportive and inclusive community. We welcome everyone no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community. If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website [https://www.westpac.com.au/about-westpac/inclusion-and-diversity/Inclusion-means-everyone-matters/disability-and-accessibility/].

Requirements

Proven ability to own and operate application security platforms end-to-end
Strong track record delivering high-quality, reliable, and scalable application security solutions
Ability to make risk-based security decisions
Experience defining and maintaining enterprise-wide security standards
Capability to identify and address systemic security risks and control gaps

Benefits

Employee Discounts
Wellness Programs

Skills

API Security Application Security Container Security Security Controls Security Platforms Security Services Modern Security Controls Enterprise Environments

Senior Information AI Security Engineer

Westpac Group

Full Time

$120,000 - $180,000*

2 weeks ago

Worldwide

HSBC Global Services Limited

Senior

Security Engineering

Cloud Security

Container Security

+4 more

Job Description

What’s the Role: This role focuses on enabling the secure adoption of AI, machine learning, and generative AI capabilities by designing and implementing scalable security controls across the full AI lifecycle, while supporting the development of secure AI platform architectures and applications. It involves embedding guardrails to manage risks such as data leakage and model vulnerabilities, and creating standards, runbooks, and reference patterns to help engineering teams deliver secure AI solutions, combining expertise across security engineering, software development, cloud platforms, and automation to ensure robust and compliant AI systems. Key Responsibilities: * Provide SME security consultancy to guide product, platform, and engineering teams in delivering secure AI solutions aligned to enterprise security strategy and risk appetite. * Design and implement secure MLOps/LLMOps patterns, including model onboarding, CI/CD controls, environment segregation, secrets management, and least-privilege access. * Establish and embed guardrails for responsible AI, covering data protection, PII handling, content filtering, monitoring, governance, and auditability. * Partner with development and product teams to identify security risks, capture requirements, and provide practical remediation guidance. * Develop and maintain security processes, tooling, and reference materials such as patterns, playbooks, and templates to support consistent adoption. * Collaborate with operational and incident response teams to improve detection, response, and resilience for AI-related threats across platforms and applications. What do I need? * Hands-on experience in security engineering across application, cloud, platform, or DevSecOps environments, with delivery of security controls in complex enterprise settings. * Experience securing AI/ML or GenAI systems, including threat modelling and understanding of risks such as prompt injection, data leakage, model extraction/inversion, poisoning, and supply chain vulnerabilities. * Relevant security certifications (e.g. CISSP, CCSP, GIAC) or equivalent demonstrated capability. * Strong understanding of secure MLOps/LLMOps practices, including CI/CD, model registries, artifact integrity, policy-as-code, and environment controls. * Experience with cloud and container security, LLM application architectures (RAG, vector databases, prompt orchestration), and data security controls such as encryption, key management, and data protection. * Ability to perform incident analysis, troubleshooting, and root cause analysis, including support for AI-related security events, along with strong communication and stakeholder engagement skills. Why join us? We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return, we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that: * Special offers on banking products and discounts from top brands, including generous employee only mortgage rates! * Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave. * Tailored learning and development opportunities to help your grow your career within the bank. * Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives. Create your future today To get started, simply click on the APPLY or APPLY NOW button We’re all about creating a supportive and inclusive community. We welcome everyone no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community. If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website [https://www.westpac.com.au/about-westpac/inclusion-and-diversity/Inclusion-means-everyone-matters/disability-and-accessibility/].

Requirements

Hands-on experience in security engineering
Experience securing AI/ML systems
Relevant security certifications
Strong understanding of secure MLOps/LLMOps practices
Experience with cloud and container security
Ability to perform incident analysis and troubleshooting

Benefits

401k Matching
Health Insurance
Paid Time Off
Professional Development
Remote Work
Wellness Programs

Skills

Security Engineering Cloud Security Container Security MLOps Data Security Model Security LLMOps

Senior Manager, AI Model Validation

Full Time

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

AI

Machine Learning

Model Risk Management

+2 more

Job Description

If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential - whether you want a career that could take you to the top, or an exciting new direction, we offer opportunities, support and rewards that will take you further. We’re one of the largest banking and financial services organisations in the world, with a network that covers more than 50 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Manager, AI Model Validation. Model Risk Management (MRM) at HSBC is structured as a global function, headed up by the Chief Model Risk Officer (CMRO). MRM are the second line of defence (2LoD) for Model Risk and the CMRO is the global Model Risk Steward for the group and is also accountable for the global operation of the MRM function. MRM teams are based in each region, to ensure local subject matter expertise and to guide, review, and challenge. MRM activity is managed on a global basis as many models are used in multiple locations. This enables MRM to operate consistently and efficiently globally, and to take account of additional local regulatory requirements. The Senior Manager, AI Model Validation will join the AI MRM team with a primary role of validating Gen AI and Agentic AI models. The role will include developing tools for efficient validation, working closely with risk and business counterparts, and monitoring academic, industry and internal HSBC developments in AI tools and techniques. As an HSBC employee in the UK, you’ll have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role you’ll: Provide support, advice and technical expertise to members of other Independent Model Risk teams working on AI validations. Develop technical standards and related guidance for AI risk assessments, validation tests, and monitoring. Work with the Infrastructure Team to provide Model Risk Management requirements to Global Businesses and Functions requirements to support the efficient integration of Model Risk Management activities in AI use cases, platforms and tools. Represent Enterprise Risk Management and Model Risk Management to your key internal stakeholders. Communicate across technical and business levels to ensure that stakeholders understand how their delivery is aligned with the Bank and Enterprise Risk Managements goals. Drive positive Risk culture behaviours including, supporting, guiding and mentoring all colleagues working as part of global virtual teams Ensure delivery of relevant services set out under the service catalogue ensuring consistent implementation across entities, countries and markets, as appropriate. Support communication with internal (first line, senior management, audit) stakeholders on risk identification, governance and management To be successful in this role you should meet the following requirements: Data Scientist with relevant experience in building or validating AI products. Deep understanding of AI models, algorithms and the associated mathematics. Experience with Python, including the main libraries used for data science and AI. Proficient in developing LLM-enabled applications using Python, including frameworks such as langchain. Knowledge of the risks associated with developing, deploying and using AI in large commercial organisations. Knowledge of the regulatory landscape for AI and ability to access the impact of proposed changes in these regulatory rules to the bank. Knowledge of AI research, methodologies and techniques, particularly General Purpose AI, Deep Neural Networks, Agentic AI frameworks and statistical analysis (Variable Reduction, Feature engineering) with Supervised and Unsupervised machine learning algorithms. Expertise with data cleaning, feature engineering, and data normalization techniques. Active interest in the latest tools and ways of working linked to AI, with the ability to apply this knowledge in a flexible way adapting to varied circumstances across HSBC. Ability to promote a strong risk control culture and continually improve risk awareness. Ability to develop networks with key stakeholders. Providing advice and challenge, delivering risk management policies and managing risks and controls. Opening up a world of opportunity. Being open to different points of view is important for our business and the communities we serve. At HSBC, we’re dedicated to creating diverse and inclusive workplaces. Our recruitment processes are accessible to everyone - no matter their gender, ethnicity, disability, religion, sexual orientation, or age. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role. If you’d like to apply for one of our roles and need adjustments made, please get in touch with our Recruitment Helpdesk: Email: [email protected]

Requirements

Provide support, advice and technical expertise to members of other Independent Model Risk teams working on AI validations.
Develop technical standards and related guidance for AI risk assessments, validation tests, and monitoring.
Work with the Infrastructure Team to provide Model Risk Management requirements to Global Businesses and Functions requirements to support the efficient integration of Model Risk Management activities in AI use cases, platforms and tools.
Represent Enterprise Risk Management and Model Risk Management to your key internal stakeholders.
Communicate across technical and business levels to ensure that stakeholders understand how their delivery is aligned with the Bank and Enterprise Risk Managements goals.
Drive positive Risk culture behaviours including, supporting, guiding and mentoring all colleagues working as part of global virtual teams

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work
Sick Leave

Skills

AI Machine Learning Model Risk Management Python Risk Management

Staff AI Security Engineer

Blink Health

Full Time

$150,000 - $180,000*

2 weeks ago

Worldwide

Senior

AI Security

Cloud Security

Machine Learning

+3 more

Job Description

Company Overview: Blink Health is the fastest growing healthcare technology company that builds products to make prescriptions accessible and affordable to everybody. Our two primary products – BlinkRx and Quick Save – remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients. BlinkRx is the world’s first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. With BlinkRx, never again will a patient show up at the pharmacy only to discover that they can’t afford their medication, their doctor needs to fill out a form for them, or the pharmacy doesn’t have the medication in stock. We are a highly collaborative team of builders and operators who invent new ways of working in an industry that historically has resisted innovation. Join us! We are hiring a Senior AI Security Engineer to lead the security, governance, and risk management of AI at BlinkRx, from enterprise AI tools used by our workforce to the agentic AI pipelines being built by our engineering teams. This is an individual contributor role with high organizational visibility and impact. You will architect and operate a comprehensive AI security program, drive policy and technical controls across the AI lifecycle, lead red-teaming and adversarial testing of AI systems, and serve as the internal expert on AI-specific threats including prompt injection, model inversion, data poisoning, and agentic identity abuse. The ideal candidate combines deep security engineering expertise with practical knowledge of modern AI systems, cloud-native architectures, and software engineering practices. This individual will partner closely with Engineering, Infrastructure, Data Science, and Product Security teams to ensure AI technologies are deployed securely, responsibly, and at scale. Responsibilities: Design and implement a multi-layer AI security framework spanning data classification, detection and response, exfiltration prevention, governance, adversarial testing, and agentic identity management. Evaluate, deploy, and operate AI-specific security tooling and integrate them into BlinkRx's security operations. Architect secure MCP (Model Context Protocol) server deployments and define agent-to-agent authentication standards for agentic AI workflows. Partner with Cloud Security to establish guardrails in AWS for AI workloads. Define and enforce PHI/PII handling controls for all AI systems. Design and execute AI red-team assessments against AI applications Integrate AI security controls into CI/CD pipelines and engineering workflows. Develop automated testing and validation for AI applications and AI pipelines. Build and operate an AI security testing pipeline using tools. Perform adversarial testing of agentic AI workflows for privilege escalation, tool misuse, and unintended data access patterns. Qualifications: 7+ years of experience in Security Engineering with a sound understanding of the Software Engineering process. Hands-on experience with adversarial AI techniques including prompt injection, model extraction, data poisoning, and evasion attacks. Understanding of AI security frameworks: NIST AI RMF, ISO 42001. GitHub and Python skills for security tooling, evaluation harnesses, and automated testing of AI systems. Demonstrated experience with Enterprise AI platforms such as Claude Enterprise, OpenAI Enterprise, Cursor, etc. Excellent written and verbal communication skills. Why Join Us: It is rare to have a company that both deeply impacts its customers and is able to provide its services across a massive population. At Blink, we have a huge impact on people when they are most vulnerable: at the intersection of their healthcare and finances. We are also the fastest growing healthcare company in the country and are driving that impact across millions of new patients every year. Our business model not only helps people, but drives economics that allow us to build a generational company. We are a relentlessly learning, constantly curious, and aggressively collaborative cross-functional team dedicated to inventing new ways to improve the lives of our customers. We are an equal opportunity employer and value diversity of all kinds. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Applicants who provide their phone number and consent to receive text messages may receive SMS or MMS updates from Blink Health regarding their application.

Requirements

Design and implement a multi-layer AI security framework
Evaluate, deploy, and operate AI-specific security tooling
Architect secure MCP server deployments
Partner with Cloud Security to establish guardrails in AWS
Define and enforce PHI/PII handling controls for all AI systems

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work
Stock Options

Skills

AI Security Cloud Security Machine Learning Python AWS Security Engineering

Customer Success Manager, AI Security

Full Time

$160k - $210k

2 weeks ago

Worldwide

Senior

AI/ML

Security Architecture

SIEM

+5 more

Job Description

Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! Cato Networks is seeking a highly technical and business savvy Senior Customer Success Manager, AI Security to drive customer adoption, ensure value realization, and lead renewal and upsell conversations for our AI Security platform. This role requires a unique blend of deep technical understanding—across AI/ML, security architecture, and integrations—with strong commercial acumen negotiating renewals and identifying expansion opportunities. You will partner with security, IT, and compliance teams as they deploy AI safely, while also collaborating with procurement, finance, and executive stakeholders to secure long-term business growth. Key Responsibilities Own and manage a portfolio of enterprise customers, ensuring strong adoption, measurable outcomes, and long-term retention. Build customer success plans, define and track KPIs, and guide customers in implementing AI security best practices (model risk monitoring, prompt security, governance workflows, etc.). Lead regular business reviews (QBRs/EBRs) with both technical and executive audiences. Proactively monitor customer health, identify risks, and implement mitigation strategies. Technical Leadership Serve as a technical advisor on AI security architecture, including integrations with CASB, DLP, SIEM, SASE, model gateways, and LLM application workflows. Support customer onboarding and deployment by providing hands-on guidance, troubleshooting, and adoption enablement. Translate complex technical requirements into actionable tasks for customers and internal teams. Stay informed on emerging AI threats, red-teaming techniques, safe-use patterns, model evaluation frameworks, and industry regulations (NIST AI RMF, ISO, OWASP AI Security, etc.). Commercial Ownership Own the full renewal lifecycle—forecasting, preparing commercial proposals, negotiating pricing/terms, and closing renewals. Identify expansion opportunities across products, modules, consumption tiers, or additional use cases. Partner with Sales to execute upsell strategies based on customer maturity, increased usage, or new AI risk requirements. Deliver compelling value narratives that resonate with technical and business stakeholders. Cross-Functional Collaboration Provide customer feedback to Product and Engineering to influence roadmap priorities. Work closely with Professional Services to ensure smooth implementation and timely delivery. Collaborate with Marketing on reference stories, AI security enablement materials, and customer advocacy initiatives. Customer Education & Advisory Deliver workshops, onboarding sessions, and executive briefings on AI threat models, safe LLM adoption, and governance frameworks. Build strong relationships with security architects, AI/ML leads, data protection officers, and procurement teams. Qualifications 5+ years in Customer Success, Technical Account Management, or Sales Engineering within cybersecurity, cloud security, and AI/ML platforms. Strong technical background—experience with security architectures, API gateways, cloud platforms, data protection, or AI/LLM workflows. Demonstrated commercial experience handling renewals, negotiating contracts, and driving upsells. Ability to confidently speak with both deeply technical teams and procurement/executive stakeholders. Strong project management, communication, and executive presentation skills. Comfortable working in fast-paced, high-growth AI environments. Preferred Skills Familiarity with AI governance, prompt hardening, model evals, or red-teaming methods. Experience supporting SASE/SSE, CASB, or SaaS security products. Startup or early-stage scaling experience. Certifications: CCSK, CCSP, CISSP, or relevant AI governance credentials. A reasonable estimate of the salary for this role, at the time of posting, is $160,000 - $210,000. Cato operates from a high place of trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skill set, experience, location, training, and certifications. If your requirements fall outside of this range, you are still welcome to apply. Cato provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Health Savings/Flexible Spending Accounts, flexible time-off, paid parental leave and disability benefits. As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status. #LI-MR1

Requirements

Own and manage a portfolio of enterprise customers
Build customer success plans and define KPIs
Lead regular business reviews with technical and executive audiences
Serve as a technical advisor on AI security architecture
Support customer onboarding and deployment
Translate complex technical requirements into actionable tasks
Stay informed on emerging AI threats and industry regulations

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Remote Work
Stock Options
Training Budget
Wellness Programs

Skills

AI/ML Security Architecture SIEM Integrations CASB DLP SASE Model Gateways

Senior AI Security Researcher

Radware

Full Time

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

PyTorch

Python

AI frameworks

+3 more

Job Description

Radware is a global leader of cyber security and application delivery solutions for physical, cloud, and software defined data centers. At Radware, we live and breathe cybersecurity. It is our passion. Each day, our international team works to earn the trust of more than 12,500 organizations around the globe. Keeping them safe is our mission. To that end, we go head-to-head with politically motivated hacktivists, dangerous nation-state threat actors and other notorious cyber attackers -these are not your average adversaries. Backed by nearly 30 years of experience, Radware is best known for its technical excellence and innovative network and application security solutions. That is why it is so important that we build our team with bold and bright talent. Radware’s CTO Office is where next-generation cyber protections are born. The CTO Office drives innovation by developing cutting-edge AI capabilities for Radware’s cybersecurity products and services. Our team tackles complex challenges in AI, application security, network security, and agentic security, while inventing state-of-the-art solutions that protect customers from emerging threats. Radware is seeking a Senior AI Security Researcher. In this role, you will be responsible for building world-class solutions that detect and prevent attacks against AI applications, LLMs, and autonomous agents, including prompt injections, jailbreaks, data leakage, and other emerging AI-native threats. What is the job: This is a senior hands-on role for someone who combines deep AI expertise with a strong research mindset and the ability to build production-grade systems. We are looking for an independent, highly capable person who can take an idea from research, through model development and evaluation, all the way to scalable production deployment. We are looking for someone who can invent, validate, build, and ship. What will you do? · Lead hands-on AI research and development for Radware’s next-generation cybersecurity capabilities. · Lead the development of advanced AI-driven protections for emerging threats against AI agents · Fine-tune, adapt, evaluate, and optimize AI models, including open-source LLMs, embedding models, and classifiers. · Turn research ideas into reliable production capabilities with strong accuracy, low latency, and long-term robustness · Collaborate with research, engineering, product, and field teams to integrate new capabilities into Radware’s products. What do you need to succeed? · 3+ years of hands-on experience in AI, machine learning, NLP, deep learning, or production ML systems. · Strong experience with LLMs, transformer-based models, embedding models and text classification. · Proven ability to fine-tune, evaluate, optimize, and deploy AI models in production. · Hands-on experience with AI frameworks such as PyTorch, Hugging Face, Sentence Transformers, vLLM, or similar tools. · Research mindset with strong execution skills, independence, ownership, and ability to lead complex initiatives end-to-end. · M.Sc. or Ph.D. in Computer Science, Machine Learning, Data Science, Cybersecurity, or a related field. Why you should join us: Employees from more than 40 countries have chosen Radware as a place where they can belong. Radware has been recognized by Glassdoor and BDI as one of the World’s Best Places to Work, ranking among the top 100 companies across the globe in the IT category. Radware has also been named a Gold Winner for Application Security in the 2023 Globee Cybersecurity Awards, by Forrester a Leader in DDoS Protection, and has been named a Leader in WAF Market by Quadrant Knowledge Solutions. We are equally committed to our people. We strive to create a dynamic work environment that celebrates diversity, promotes equality, and thrives on the unique contributions of each individual. If you are ready to be part of a global-minded company that is inspired to create a better, safer future; and if and want to fight for the good guys and be at the forefront of helping companies protect their most critical assets from today’s cyber adversaries, then you’ve found the right fit at Radware.

Requirements

3+ years of hands-on experience in AI, machine learning, NLP, deep learning, or production ML systems.
Strong experience with LLMs, transformer-based models, embedding models and text classification.
Proven ability to fine-tune, evaluate, optimize, and deploy AI models in production.
Hands-on experience with AI frameworks such as PyTorch, Hugging Face, Sentence Transformers, vLLM, or similar tools.
Research mindset with strong execution skills, independence, ownership, and ability to lead

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus

Skills

PyTorch Python AI frameworks Hugging Face Sentence Transformers vLLM

Manager, Model Risk Management

Onity

Full Time

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

Model Risk Management

Model Validation

Risk Management

+5 more

Job Description

Position Summary: The Model Risk Manager reporting to the SVP, Credit and Market Risk Management will oversee the performance monitoring and testing of the company’s inventory of financial and analytical models. This role will serve as the primary second-line contact for the assessment of new model input/design/function prior to the promotion to production. In addition, the role will develop monitoring oversight via actual vs expected results analysis and perform coordinated stakeholder reviews of existing models on a risk-based rotation plan given model significance to the operating and financial results of the company. Model reviews should result in summary document output identifying model degree of fit and identify areas of potential improvement. The candidate will be a motivated, self-led individual responsible for directing the model risk assessment and ensuring reviews include comprehensive input from stakeholders, address developing trends in the market, and structurally consider the variability of data l input and assumptions relative to industry/company/portfolio trends. The candidate will be a member of a broader Risk Management team consisting of associates in Market and Counterparty Risk Management and be able to utilize team resources to assist in the execution of the Model Risk Management plan. Job Functions and Responsibilities: * Annual Model inventory: Performed on a timely basis, the results of which will serve to facilitate a rotation plan review of models, given a risk-based approach. * Liaise with 1st line subject matter experts: Understand the model objective/ inputs/significant assumptions/design to properly assess the model structure and document any critical observations through communication to 1st line. Act as a central point of contact, communicating across Risk, Model developers, and model stakeholders to validate findings and negotiate the resolution of identified issues. * Independent Model Validation: Perform technical reviews of model methodology, data, assumptions, and implementation to ensure soundness. * Model Governance & Policy: Maintain and update the Model Risk Management (MRM) framework and policies in accordance with industry changes and regulatory requirements * Performance Monitoring: Develop a dashboard reflective of recent actual vs expected model output. Conduct ongoing monitoring of models to ensure they remain "fit for purpose," identifying when models require recalibration or retirement due to degradation. Critical models such as MSR Valuation will need to be reviewed annually while others reviewed on a risk-based rotation plan. * Documentation & Reporting: Prepare detailed validation reports for senior management, risk committees, and regulators, highlighting model risks and deficiencies. Contribute to the Bi-Monthly Market Risk Committee, Enterprise Risk and Compliance Committee and MSR Valuation Committee sharing results of reviews performed pertinent to each Committee. * Emerging Risk Management: Stay abreast of industry advancements in AI, machine learning, and quantitative modeling to proactively identify potential new risks. Qualifications: * A Bachelor’s degree is required in a quantitative discipline, such as Mathematics, Statistics, Financial Engineering, or Physics. * Preferred candidate will have minimum of 5 years of experience in a financial services company, experience working with model validation, design and assessment of models is preferred. * Proficiency in programming languages like Python, R, or SAS, along with experience in statistical modeling and data analysis. * Proven ability to interpret data/models for creating trend analysis for presentation to management level ability * High proficiency with Microsoft Office products and extensive experience in preparing executive-level PowerPoint presentations are required * High level of professionalism, self-motivation and a strong sense of urgency To perform the job successfully the candidate should have a strong presence in the following Core Competencies: * Analytical Thinking: Ability to deeply analyze complex financial models and identify potential flaws in logic or data. * Communication: Exceptional verbal and written communication skills to translate complex technical findings into actionable insights for non-technical stakeholders. * Independence & Objectivity: Ability to challenge developers and maintain an independent, skeptical mindset. * Project Management: Proven ability to manage multiple validation projects simultaneously, adhering to strict deadlines. Work timings: 2 pm to 11 pm Onity Group Inc. is a leading non-bank financial services company providing mortgage servicing and originations solutions through its subsidiary, Onity Mortgage, formerly known as PHH Mortgage. Onity Mortgage is one of the largest servicers in the country, focused on delivering a variety of servicing and lending programs to customers, clients and investors. At Onity, we strive to earn our customers’ loyalty every day. We do this by consistently delivering exceptional service and building trust through reliability, integrity, and following through on our commitments. We operate through the lens of the customer, understand the importance of homeownership, and take pride in helping homeowners. Collectively this fosters long-term relationships, ensuring our customers feel valued and supported. We expect all employees to interact with and engage our colleagues and our customers with respect, courtesy and professionalism, and to achieve results consistent with our service delivery standards. Onity is intensely focused on hiring, developing and retaining the best talent in the industry! Our commitment to inclusion and equal opportunity ensures that we sustain our reputation as an outstanding place to work, a great business partner and a valued community member. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Requirements

Annual Model inventory performed on a timely basis
Liaise with 1st line subject matter experts to understand model objective/inputs/significant assumptions/design
Independent Model Validation to ensure soundness
Model Governance & Policy to maintain and update the Model Risk Management (MRM) framework and policies
Performance Monitoring to develop a dashboard reflective of recent actual vs expected model output

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Remote Work
Training Budget

Skills

Model Risk Management Model Validation Risk Management Model Governance Python SQL Data Analysis Financial Modeling

AI Security Governance Architect

Full Time

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

NIST AI RMF

Python

Java

+4 more

Job Description

Mission Support the client’s AI Security Governance Program by defining, operationalizing and continuously improving the cybersecurity control framework for AI, GenAI and agentic AI use cases. The role will work with security, architecture and business teams to ensure AI initiatives are registered, assessed, governed and secured across their lifecycle. The profile will act as the cybersecurity subject matter expert for AI governance, complementing the project manager and helping translate AI-related risks into practical controls, processes, requirements, evidences and decision criteria. Key Responsibilities 1. AI security governance framework Define and mature the security governance model for AI systems, including intake, registration, risk classification, control mapping, approvals, exceptions, monitoring and periodic reassessment. Align the governance model with recognized frameworks such as NIST AI RMF, NIST Generative AI Profile, ISO/IEC 42001, OWASP Top 10 for LLM Applications, and local relevant ruling as EU AI Act obligations where applicable. NIST’s GenAI Profile was released to help organizations manage unique generative AI risks; ISO/IEC 42001 provides a structured AI management system standard; OWASP tracks LLM-specific risks such as prompt injection, insecure output handling, data poisoning and supply-chain vulnerabilities. 2. AI use case risk assessment Assess AI and GenAI use cases from a cybersecurity perspective, covering: Access control and identity context Agentic AI permissions and tool execution Logging, monitoring and incident response Model exposure and misuse risk Prompt injection and indirect prompt injection Sensitive data leakage Data classification and data residency Model supply chain and third-party AI services Human oversight and approval workflows Security-by-design requirements for AI applications 3. Control design and operationalization Translate risks into practical security controls, including policies, technical requirements, architecture patterns, guardrails, evidence requirements, control owners and acceptance criteria. The role should be able to define what “good” looks like for different AI patterns: internal copilots, M365 Copilot, custom GenAI apps, RAG systems, AI agents, vendor AI features, ML models and low-code/no-code AI automations. 4. Tooling integration and control mapping Work with existing tools such as HiddenLayer, Sentra, Zenity and the AI registration/control tower process to ensure the governance model is not theoretical. Expected activities include: Mapping tool capabilities to governance controls Defining required data fields in the AI registry Establishing dashboards and control evidence Identifying gaps between tooling coverage and policy expectations Supporting integration with GRC, CMDB, DLP, IAM, SIEM/SOC, cloud security and data governance processes 6. Deliverables Typical deliverables should include: AI control framework AI use case classification model Security requirements for AI/GenAI projects AI security architecture patterns AI registry/control tower data model recommendations Tooling-to-control mapping Exception and risk acceptance process KPI/KRI dashboard proposal Security review templates AI security awareness material for project teams Roadmap for maturity improvement Must have: 8+ years in cybersecurity, with strong experience in security governance, security architecture, risk management or AppSec/CloudSec. Real understanding of AI/GenAI security risks, especially LLM application risks, prompt injection, data leakage, model supply chain, AI agent permissions, RAG security, model/API exposure and third-party AI usage. Ability to build governance that works operationally, not just policy documents. This is important: Nestlé likely does not need someone to explain that AI is risky; they need someone who can help make the program executable. Experience with enterprise control frameworks Excellent documentation and communication skills, with the ability to produce executive-ready material and technical control definitions. Strongly desirable: Experience with one or more of: AI governance programs AISPM Experience GenAI application security reviews M365 Copilot / enterprise copilots AI agent governance ML/LLM model risk management Data Security Posture Management Cloud security architecture Secure SDLC / DevSecOps Third-party AI vendor risk GRC tooling and control evidence automation SOC monitoring for AI-related threats Experience with tools such as HiddenLayer, Sentra, Zenity, Wiz, Microsoft Purview, Defender, CSPM/CWPP, DLP, SIEM/SOAR, cloud-native security tooling or GRC platforms would be valuable. Certifications / knowledge: Useful but not mandatory: CISSP, CISM, CRISC or equivalent Cloud security certifications: AWS, Azure, GCP, CCSP AI governance / AI risk training Privacy knowledge: GDPR, DPIA, data classification Familiarity with EU AI Act requirements for deployers of high-risk AI systems, including governance, monitoring, human oversight and logging obligations where applicable. Salary determined by the market and your experience 🤑 Flexible schedule 35 Hours / Week 😎 Fully remote work (optional) 🌍 Flexible compensation (restaurant, transport, and childcare) ✌ Fully free health insurance, with a co-payment for dental services 🚑 Individual budget for training or equipment and free Microsoft certifications 📚 English lessons 🗽 Birthday day off 🌴🥳 Monthly bonus for electricity and Internet expenses at home 💻 Discount on gym plan and sports activities 🔝 Plain Camp (annual team-building event) 🎪 Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees ➕ The pleasure of always working with the latest technological tools! Will you let us know you better? The selection process: Simple, just 3 steps. Phone screen 2 interviews with the team 🤘 What is Plain Concepts? Plain Concepts is a global company of over 500 people passionate about technology and innovation. Since our founding, we have grown through technical proficiency and confidence in ideas that others might consider risky, creating custom solutions for our clients. With offices in more than 6 countries, our mission is to continue to drive cuttingedge projects around the world. We are highly committed to technical excellence. We are known for developing highly customized projects, offering specialized technical consultancy and training. Thanks to the great work of our technicians, we have been recognized for our ability to lead innovative projects that generate value, from artificial intelligence to blockchain, driving solutions that help companies optimize their performance. What we do at Plain Concepts? We pride ourselves on being a 100% technical team, dedicated to crafting custom projects from scratch, offering expert technical consultancy, and providing top-tier training. Our approach goes beyond traditional outsourcing; we focus on creating value together with our clients. Our teams are diverse and multidisciplinary, operating in a flat, collaborative structure. We live and breathe AGILE principles, ensuring flexibility and efficiency in everything we do. Knowledge-sharing is at our core: from supporting each other internally to contributing to the broader tech community through conferences, events, and talks. Innovation drives us — even the boldest ideas are welcome here. Transparency underpins all our relationships, fostering trust and long-term partnerships. Want to learn more? Check out our website! ➡ https://www.plainconcepts.com/ At Plain Concepts, we certainly seek to provide equal opportunities. We want diverse applicants regardless of race, colour, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.

Requirements

Define and mature the security governance model for AI systems
Assess AI and GenAI use cases from a cybersecurity perspective
Translate risks into practical security controls
Work with existing tools such as HiddenLayer, Sentra, Zenity
Map tool capabilities to governance controls
Establish dashboards and control evidence

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

NIST AI RMF Python Java ISO/IEC 42001 AI Security Governance NIST Generative AI Profile OWASP Top 10 for LLM Applications

Senior Security Engineer, Google Photos AI Security

Google

Full Time

$174k - $252k

2 weeks ago

Worldwide

Senior

Security Engineering

Threat modeling

Network Security

+3 more

Job Description

MINIMUM QUALIFICATIONS: * Bachelor's degree or equivalent practical experience. * 5 years of experience with security assessments or security design reviews or threat modeling. * 5 years of experience with security engineering, computer and network security and security protocols. * 5 years of coding experience in one or more general purpose languages. * 1 year of experience leading teams in a technical capacity or leading technical risk analysis in an enterprise environment. PREFERRED QUALIFICATIONS: * Experience with security assessments. ABOUT THE JOB: Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities. We are seeking a passionate and experienced engineer to join our Photos ISE team. In this role, you have the opportunity for wide influence on the 1 billion+ user product, the photos infrastructure, and the developers across the org. You will: * Have the opportunity to drive the strategic direction of this complex and impactful space. * Collaborate with security, infrastructure and product teams across Photos and the company to build scalable solutions. * Solve open-ended problems, research, and apply innovative techniques to protect our users and product, such as AI/MI model, systems, and pipelines protection. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/]. RESPONSIBILITIES: * Contribute to develop the Photos security strategy alongside the other Photos security leads. * Perform project security reviews [http://go/securityreview] for Photos. * Review, develop, and implement secure operational practices to provide security guidance for engineers and support staff. * Conduct threat assessments to identify vulnerabilities and new attack vectors against Photos infrastructure and products. * Drive product vulnerability response and remediation, including repros, mitigations, and hardening.

Requirements

Bachelor's degree or equivalent practical experience
5 years of experience with security assessments or security design reviews or threat modeling
5 years of experience with security engineering, computer and network security and security protocols
5 years of coding experience in one or more general purpose languages
1 year of experience leading teams in a technical capacity or leading technical risk analysis in an enterprise environment

Benefits

401k Matching
Certification Support
Childcare Support
Commuter Benefits
Company Retreats
Conference Budget
Coworking Space
Dental Insurance

Skills

Security Engineering Threat modeling Network Security Security Protocols General Purpose Languages Computer Security

Senior AI Security Engineer

Westpac Group

Full Time

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

Python

AI/ML Security

Large Language Models

+4 more

Job Description

What’s the Role: As a Senior AI Security Engineer, you will play a hands‑on role in building and embedding the security controls, guardrails and tooling required to support the safe use of AI across Westpac. You will develop production‑grade code and reusable patterns to protect AI‑powered applications and agent‑based workflows, while working across application security and AI engineering to ensure solutions are secure by design. The role focuses on enabling the adoption of technologies such as Large Language Models (LLMs) and autonomous agents within a complex and highly regulated environment. Key Responsibilities: * Design and implement security guardrails for AI and agent‑based applications, including controls for input/output filtering, prompt injection and agent permissions * Develop production‑quality Python code for security controls, middleware and testing across LLM applications, RAG pipelines and multi‑agent systems * Build reusable security patterns, libraries and reference implementations to support secure AI development * Perform threat modelling and adversarial testing, covering risks such as data leakage, model evasion, prompt injection and agent misuse * Embed automated security checks into AI/ML pipelines, including supply chain validation, dependency analysis and runtime monitoring * Work with data, platform and engineering teams to integrate security into AI workflows and contribute to standards aligned with industry frameworks What do I need? * Proven experience implementing security guardrails in AI and agent‑based applications, including prompt safety, data protection and agent control mechanisms * Experience building and delivering reusable AI security libraries, patterns and reference implementations used by engineering teams * Hands‑on experience integrating automated security testing and validation into CI/CD and ML pipelines * Demonstrated experience identifying and reducing AI‑related security risks through prevention, detection and control implementation * Experience developing or contributing to AI security standards, guidance and enablement materials for engineering teams * Strong background in AI/LLM security, Python‑based security engineering, application security and threat modelling, with exposure to agentic frameworks, ML pipeline security and cloud platforms Why join us? We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return, we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that: * Special offers on banking products and discounts from top brands, including generous employee only mortgage rates! * Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave. * Tailored learning and development opportunities to help your grow your career within the bank. * Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives. Create your future today To get started, simply click on the APPLY or APPLY NOW button We’re all about creating a supportive and inclusive community. We welcome everyone no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community. If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website [https://www.westpac.com.au/about-westpac/inclusion-and-diversity/Inclusion-means-everyone-matters/disability-and-accessibility/].

Requirements

Proven experience implementing security guardrails in AI and agent-based applications
Experience building and delivering reusable AI security libraries
Hands-on experience integrating automated security testing and validation into CI/CD and ML pipelines
Demonstrated experience identifying and reducing AI-related security risks
Experience developing or contributing to AI security standards
Strong background in AI/LLM security
Python-based security engineering

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Python AI/ML Security Large Language Models Prompt Injection Autonomous Agents Security Guardrails Agent Permissions

AI Security Researcher

Wiz, Inc.

Full Time

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

Python

Go

KQL

+5 more

Job Description

Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re the leading player in a massive and growing market, but it’s still early enough for you to make a significant impact. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY We're looking for a talented AI Security Researcher to join our team and play a critical role in Wiz's foundational, risk-driven approach to cloud security. This role requires deep technical research into complex cloud- and AI-native environments to identify the most significant, unaddressed risks. WHAT YOU’LL DO Conduct deep technical research to discover and report novel risks and attack vectors specific to modern cloud- and AI-native architectures and systems. Discover and articulate the highest unaddressed risk areas, working with Product and Engineering teams to translate research into product capabilities. Define necessary foundational product capabilities by delivering both compelling proofs of risk (demonstrating impact) and technical POCs (showing how to solve it). Work closely with Product and Engineering teams to ensure comprehensive risk coverage and support the investigation of new and complex product scope. WHAT YOU’LL BRING 5+ years of hands-on experience in security or security research, specifically relevant to modern cloud environments (AWS, GCP, Azure, Kubernetes, etc.). Strong hands-on skills with scripting languages (e.g., Python, Go) for automation and research, as well as query languages (e.g., KQL, SQL) for efficient data analysis of security telemetry. Proven ability to work independently, prioritize effectively, and drive complex, multi-quarter research projects from initial concept through to clear, delivered impact. Excellent written and verbal communication skills, with a track record of successfully collaborating with cross-functional teams (e.g Product, Engineering, Marketing) to achieve shared goals. ADVANTAGE Specialized knowledge or research experience in AI security, focusing on risks to AI as deployed in the enterprise. Experience in public-facing work, such as presenting at recognized industry conferences, authoring technical blog posts, or publishing research. Experience conducting data-driven research and working with large-scale security telemetry to derive statistically significant or high-impact findings. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.

Requirements

5+ years of hands-on experience in security or security research
Strong hands-on skills with scripting languages (e.g., Python, Go)
Proven ability to work independently and prioritize effectively
Excellent written and verbal communication skills
Experience in public-facing work (e.g., presenting at industry conferences)
Experience conducting data-driven research and working with large-scale security telemetry

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work

Skills

Python Go KQL SQL AWS GCP Azure Kubernetes

Sr Director Analyst– Analytics & AI Governance (Remote UK or Ireland)

Gartner

Full Time

$120,000 - $180,000*

2 weeks ago

United Kingdom

Ireland

Senior

Analytics

AI

Data Science

+3 more

Job Description

About the role: Gartner Analysts are industry thought leaders who create must-have research, market predictions and best practices for a broad range of world-leading organizations. A Senior Director possesses a keen eye for identifying gaps, problems and solutions within their market. They use their knowledge to help clients make better decisions, solve complex issues and execute new practices that propel clients’ businesses toward critical objectives. A Senior Director publishes these insights as pragmatic and provocative research. Additionally, they reinforce Gartner’s value every day by engaging clients via in-person and virtual meetings, sales support visits, Gartner conferences and industry events. This includes writing about, presenting and advising organizations about market trends, technologies, vendors and best practices in analytics & AI. What you will do: Create high-quality, clear, actionable, “must-have research” content based on research best practices and methodologies in analytics, AI and data science. Specific focus areas will include strategy, business value, best practices, market trends, technologies and vendors. Identify the root cause of a client’s barriers or overall needs and reframe thinking to drive the strategy forward. Cover specific Analytic & AI topics and adjacent areas while maintaining a view across a broad spectrum of the market, and produce innovative, thought-leading, impactful, analytically-deep, fact-based research. Specific topics will be Agentic analytics, Decision Intelligence, AI Engineering, Content Management, Analytics and BI, Data Science and Machine Learning. Provide clients and prospects with actionable analytics & AI-centric advice via virtual or face-to-face interactions. Create and deliver presentation materials for Gartner events, industry and professional association conferences, webinars and client briefings. Provide high-quality and timely research peer review. Provide mentorship and support to team members. Predict how specific markets are developing, help clients in their selection process and assist vendors in overall positioning. Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the analytics & AI research community. What you will need: Bachelor's degree or equivalent experience; Graduate degree preferred. 12+ years of relevant Analytics & AI experience. Will previously have held a leadership or senior technical role within technology or business. Applicable experience in an industry discipline and deep knowledge of the CDAO, Head of Analytics and AI responsibilities or related business roles, as well as a market and industry perspective. This includes understanding technology and business needs, including user strategies in specific areas and markets. Excellent written and verbal proficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions. Ability to work independently, while being intrinsically motivated to collaborate across teams and support the workflow of others, in a multicultural global team. Demonstrate executive presence; can immediately establish credibility with executives and additional stakeholders. Strong organizational skills; ability to work under tight deadlines and produce high-quality deliverables. Demonstrate superior analytical skills, applying conceptual models, and recognizing patterns while drawing and defending conclusions. Subject matter expertise comfortable presenting at large and small-scale speaking engagements. #LI-remote #LI-AV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to [email protected]. Job Requisition ID:110437 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. At Gartner, we guide the leaders who shape the world. Over 13,000 client enterprises worldwide rely on Gartner for actionable, objective business and technology insights. Our teams of thinkers and doers know that staying curious is the best way to shape the future, for ourselves and our clients. Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Requirements

12+ years of relevant Analytics & AI experience
Bachelor's degree or equivalent experience
Graduate degree preferred
Excellent written and verbal proficiency, analytical and presentation skills
Ability to engage clients and respond effectively to questions
Ability to work independently
Mentorship and support to team members

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus

Skills

Analytics AI Data Science Machine Learning Python Research

Sr Director Analyst– Analytics & AI Governance (Remote UK or Ireland)

Gartner

Full Time

2 weeks ago

Worldwide

AI

Executive

API

Job Description

About the role: Gartner Analysts are industry thought leaders who create must-have research, market predictions and best practices for a broad range of world-leading organizations. A Senior Director possesses a keen eye for identifying gaps, problems and solutions within their market. They use their knowledge to help clients make better decisions, solve complex issues and execute new practices that propel clients’ businesses toward critical objectives. A Senior Director publishes these insights as pragmatic and provocative research. Additionally, they reinforce Gartner’s value every day by engaging clients via in-person and virtual meetings, sales support visits, Gartner conferences and industry events. This includes writing about, presenting and advising organizations about market trends, technologies, vendors and best practices in analytics & AI. What you will do: Create high-quality, clear, actionable, “must-have research” content based on research best practices and methodologies in analytics, AI and data science. Specific focus areas will include strategy, business value, best practices, market trends, technologies and vendors. Identify the root cause of a client’s barriers or overall needs and reframe thinking to drive the strategy forward. Cover specific Analytic & AI topics and adjacent areas while maintaining a view across a broad spectrum of the market, and produce innovative, thought-leading, impactful, analytically-deep, fact-based research. Specific topics will be Agentic analytics, Decision Intelligence, AI Engineering, Content Management, Analytics and BI, Data Science and Machine Learning. Provide clients and prospects with actionable analytics & AI-centric advice via virtual or face-to-face interactions. Create and deliver presentation materials for Gartner events, industry and professional association conferences, webinars and client briefings. Provide high-quality and timely research peer review. Provide mentorship and support to team members. Predict how specific markets are developing, help clients in their selection process and assist vendors in overall positioning. Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the analytics & AI research community. What you will need: Bachelor's degree or equivalent experience; Graduate degree preferred. 12+ years of relevant Analytics & AI experience. Will previously have held a leadership or senior technical role within technology or business. Applicable experience in an industry discipline and deep knowledge of the CDAO, Head of Analytics and AI responsibilities or related business roles, as well as a market and industry perspective. This includes understanding technology and business needs, including user strategies in specific areas and markets. Excellent written and verbal proficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions. Ability to work independently, while being intrinsically motivated to collaborate across teams and support the workflow of others, in a multicultural global team. Demonstrate executive presence; can immediately establish credibility with executives and additional stakeholders. Strong organizational skills; ability to work under tight deadlines and produce high-quality deliverables. Demonstrate superior analytical skills, applying conceptual models, and recognizing patterns while drawing and defending conclusions. Subject matter expertise comfortable presenting at large and small-scale speaking engagements. #LI-remote #LI-AV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to [email protected]. Job Requisition ID:110437 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. At Gartner, we guide the leaders who shape the world. Over 13,000 client enterprises worldwide rely on Gartner for actionable, objective business and technology insights. Our teams of thinkers and doers know that staying curious is the best way to shape the future, for ourselves and our clients. Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Skills

API

Data and Model Risk Program Lead

Amalgamated Bank of NY

Full Time

$86.503k - $122.51k

2 weeks ago

Worldwide

Senior

Data governance

Model Risk Management

Data Analytics

+4 more

Job Description

Position Function: The Data Governance Program Manager will lead the establishment of policies and standards for the Bank’s new risk management programs and support data analytics within the Risk Management department. Data Governance Model Risk Management Enterprise Risk Management The position will oversee the development, implementation, and maintenance of governance frameworks appropriate for the size and complexity of the Bank to ensure compliance with regulatory requirements and mitigate risks associated with data and model usage across the organization. This role involves managing a working group through plan implementation, collaborating with departments, providing subject matter expertise, and producing data-driven reporting to senior management. Performs all duties and interacts with internal and external customers in a manner that is expressly aligned with the Company's Core Values of approaching all actions with a “Voyaging Spirit” and being “Positively Ohana”. Exhibits core competencies that result in consistent delivery of positive Customer Interactions, Empowerment and Ownership and demonstrates key professional and performance skills such as Active Listening, effective Oral and Written Communication, Action and Solution Oriented and Thoroughness. Primary Accountabilities: Data Governance: * Design and develop a structured data governance framework informed by DAMA best practices that enable effective data-driven decision-making. * Communicate and implement data ownership, stewardship, and quality standards across multiple systems and business functions. * Collaborate with system owners and data owners to lead the integration of data governance controls across business units and enterprise platforms. * Collaborate with Emerging Technologies to design and transform enterprise analytics to ensure accuracy and alignment with business needs. * Monitor the data quality of critical data fields at the enterprise-level and produce actionable insights for management on data risk management. * Serve as a consultative resource to business units to support data literacy, management, and usage activities. Model Risk Management: * Serve as a consultative resource to model developers and model owners to support governance activities. * Collaborate with model owners to support the integration of model governance requirements into business unit processes. * Monitor the remediation of model risk findings and recommendations. Project Management and Collaboration: * Lead a working group through program development and implementation * Manage external contractors to ensure timely and effective completion program projects. * Develop strong relationships with key stakeholders across the organization. Enterprise Risk Management: * Support the administration of quarterly executive & board of director reporting. * Support the administration of the GRC application. * Support initiatives in other fields of risk management, as needed. Minimum Qualifications: Education: * Bachelor’s Degree from an accredited 4-year university in management information systems, data management, data analytics, finance, economics, or a related field required. Experience: * 6+ years of experience in Data governance, data management, data engineering, model risk management, or enterprise analytics required. * 2+ years of experience in Program development, or project management preferred. Physical Requirements & Working Conditions: * Must be able to perform light physical work and to move or lift items including but not limited to boxes, files and papers up to 20 pounds unless otherwise as indicated. * Must be able to operate and proficiently use standard office equipment, including phone, copier, personal computer and/or other work related mechanical or electronic devices and applications. * Must be able to clearly communicate verbally and in writing with all internal and external customers. Must also be able to hear sufficiently to engage in daily discussions and interactions. * Must be able to read and understand bank-related documents. * Must be able to work in a conventional office setting, involving sitting at a desk or workstation for long periods of time. Must also be able to adapt to different work environments as needed to perform the job. We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

Requirements

Design and develop a structured data governance framework informed by DAMA best practices
Communicate and implement data ownership, stewardship, and quality standards across multiple systems and business functions
Collaborate with system owners and data owners to lead the integration of data governance controls across business units and enterprise platforms
Serve as a consultative resource to business units to support data literacy, management, and usage activities
Monitor the data quality of critical data fields at the enterprise-level and produce actionable insights for management on data risk management

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Professional Development
Retirement Plan
Wellness Programs

Skills

Data governance Model Risk Management Data Analytics Data Science Machine Learning Data Quality Data Stewardship

Lead Model Validation Analyst

OSB Group

Full Time

GBP 50k - GBP 60k

3 weeks ago

Worldwide

Senior

SAS

Statistical techniques

Data Analysis

+2 more

Job Description

About the team The Model Validation team supports the group function by ensuring that models are subject to robust governance and well understood in respect to their purpose, limitations and strengths. What you will be doing? In this role is you will have the opportunity to execute model validation activity across a breadth of models and purposes ensuring that models are subject to robust and proportionate independent validation providing assurance to key model committees that the models are assured as to their quality and risk. In this interesting role, you will gain access to a number of senior stakeholders across the business whilst having the opportunity to support IRB project work. Please note this is a fixed term contract for period of 12 months. Your responsibilies will include: Validation of models across all aspects of the model lifecycle. Including assessing the appropriateness of the data utilised, the methodologies, the performance of the model, the clarity of the model documentation, appropriateness of model monitoring, and the use of the model. In practice you will be expected to: Perform independent analysis utilising statistical techniques to interrogate, review and challenge model development evidenced through robust validation reports. Engage with the Head of Model Validation on findings and recommended materiality. Provide clarity to the model owner / model developer as to the findings / query such that the matter is understood. Utilise expertise to agree any remedial actions with the model development team in review meetings. Provide, where relevant, views on regulatory compliance with items such as SS3/18. Produce comprehensive validation reports in line with the validation framework for review at the appropriate Committee / approval body. Managing and engaging stakeholders across the organisation to ensure effective model validation practice is embedded. Supporting the Model Governance and Validation team in improving polices, standards and practices across the group. What's in it for you? We offer a base salary of £50,000-£60,000 dependent on experience and a competitive benefits package including: Enhanced family-focused benefits Hybrid-working Annual bonus opportunity (pro-rata’d) About us At OSB Group, we understand how much our people bring to our organisation, which is why we try our best to give back too! Our Purpose is to help our customers, colleagues and communities prosper and we are on a transformation journey to become ‘the bank of the future’. Our commitment to professional development, flexible working, and employee well-being fosters a dynamic and supportive workplace. Do you have the skills? We are looking for talented individuals who have the skills set out below: Previous experience working within a similar model validation or model development related role is essential. Advanced use and application of data modelling and data analysis software: specifically, SAS, WPS or similar are essential. Up to date knowledge of PRA and EBA requirements are essential, including IRB requirements. A degree or equivalent qualification in a quantitative field is essential. Next steps If this sounds like you, please apply now! For internal applications please visit the internal careers page to apply. Still on the fence? Hear from our team or explore our process: OSB Careers Shortlisted candidates will go through a personalised recruitment process, that is relevant and conversational – inclusive any individual reasonable support required. We want to bring out the best in you! Diversity, Equity & Inclusion Not sure if you meet the spec? Let us decide. Research tells us that those from marginalised groups feel like they need to meet 100% of the criteria to apply. Here at OSB, we are committed to inclusivity and understand the value different experiences and perspectives can bring, so please don’t feel like you need to check every box to apply for a role internally. We champion diversity at all levels, with Board-level Diversity Champions tracking our progress. We are proud to be signed up to the Women in Finance Charter to actively support the growth and development of senior women in our sector and are dedicated to treating all our employees and job applicants equally, opposed to discrimination on any grounds.

Requirements

Previous experience working within a similar model validation or model development related role
Advanced use and application of data modelling and data analysis software
Up to date knowledge of regulatory compliance with items such as SS3/18
Ability to perform independent analysis utilising statistical techniques
Ability to engage with senior stakeholders across the business
Ability to produce comprehensive validation reports in line with the validation framework

Skills

SAS Statistical techniques Data Analysis Data Modelling WPS

컨설팅부문 Digital & AI Risk Transformation 컨설턴트

EY

Full Time

$80,000 - $120,000*

3 weeks ago

South Korea

Worldwide

Mid

Python

Machine Learning

Risk Management

+3 more

Job Description

EY에서는 글로벌 규모, 지원, 포용성 있는 문화 및 기술과 함께 최고의 인재가 되어 특별한 커리어를 만들 수 있습니다. 당신만의 커리어와 관점으로 더 나은 EY를 만들고, 이를 통해 더 나은 업무 환경을 만들어 나가는 일에 동참해보십시오. 컨설팅부문 Digital & AI Risk Transformation 컨설턴트 컨설팅부문 Digital & AI Risk Transformation 팀 [담당업무] - Responsible AI 컨설팅 (AI 거버넌스 체계 구축, AI 리스크 관리체계 구축, AI 경영관리체계 인증 대응, AI 과제 수립 및 PoC 수행) - Risk Analytics (리스크 상시모니터링 시스템 구축) - 내부통제 설계 및 시스템 구축 컨설팅 - 컴플라이언스 체계 수립 및 시스템 구축 컨설팅 [지원자격 및 우대사항] - 국내외 4년제 대학 또는 대학원 졸업(예정)자- 관련 경력 1년 이상 - AI 관련 컨설팅 경험이 있는 자 - AI 기획, 개발, 운영, 모니터링 등 Lifecycle에 대한 이해 보유자 - 데이터 분석 경험이 있는 자 - 컴플라이언스 컨설팅 또는 실무 경험이 있는자 - 내부통제 컨설팅 또는 실무 경험이 있는자 [전형절차] - 1차 서류 심사 - 온라인 인성검사 - 2차 실무/임원 면접 [모집기간] - 2026년 5월 25일까지 [지원방법] - 자사양식 입사지원서 작성하시어, PDF 파일로 변환하신 후 지원 페이지 내 '이력서(Resume)' 항목에 업로드하시기 바랍니다. - 자사양식 입사지원서 [다운로드] [기타사항] - 급여: 법인 내규 - 근무지: 서울 - 근무형태: 정규직 - 보훈대상자 및 장애인, 취업보호대상자는 관련법에 의거하여 우대합니다. - 해외여행의 결격사유가 없어야 합니다. - 적합한 인력 채용 시 본 공고는 조기 마감될 수 있습니다. - 입사지원서 내용이 사실과 다를 경우 입사가 취소될 수 있습니다. - 다른 포지션과 중복지원 불가합니다. - 문의: [email protected] EY | Shape the future with confidence EY는 더 나은 업무 환경을 조성하여 고객과 사람 그리고 사회를 위한 장기적 가치를 형성하기 위해 힘쓰고 자본 시장의 신뢰를 구축하기 위해 존재합니다. 약150개국의 다양한 EY 팀은 데이터와 기술을 지원하여 자신감을 통한 신뢰를 구축하고 고객의 성장, 혁신 및 운영을 지원합니다. 보험, 컨설팅, 법률, 전략, 세금 및 거래 전반에서 일하며 EY 팀은 현재 세상이 직면하고 있는 복잡한 문제에 더 나은 질문을 던지고 새로운 답을 찾습니다

Requirements

4-year degree or higher
1+ year of experience in AI consulting
AI planning, development, operation, monitoring experience
Data analysis experience
Compliance consulting or practical experience
Internal control consulting or practical experience

Benefits

Health Insurance
Dental Insurance
Disability Insurance
Employee Assistance Program
Employee Discounts
Flexible Hours
Gym Membership
Home Office Budget

Skills

Python Machine Learning Risk Management Compliance AI Data Analysis

AI Security Engineer

YipitData (Alternative)

Full Time

$230k - $280k

3 weeks ago

United States

Worldwide

Senior

Agentic Trust Framework

OWASP

NIST AI RMF

+5 more

Job Description

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world’s largest investment funds and corporations depend on. For three years and counting, we have been recognized as one of Inc’s Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Los Angeles (CA), Cupertino (CA), Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. About the Role: We are seeking an AI Security Engineer to lead the implementation, monitoring, and continuous improvement of security, governance, and trust controls for AI systems across the organization. This role will focus on operationalizing AI system security controls using the Agentic Trust Framework mapped to OWASP guidance and the NIST AI RMF, with particular emphasis on observability engineering, behavioral monitoring, policy enforcement, misuse detection, and risk-informed response. This person will serve as a bridge between Security, Engineering, Data, Platform, Compliance, and AI product teams to ensure AI systems are not only functional and performant, but also trustworthy, auditable, resilient, and aligned with enterprise governance requirements. The ideal candidate combines technical depth in AI/ML systems, strong security and monitoring instincts, and the ability to define practical controls for complex, fast-evolving agentic and generative AI environments. We expect U.S. based working hours with the majority of the team working East and Central Time Zones. In this role, you will: Own AI behavior monitoring: Define what trustworthy and untrustworthy AI behavior looks like, and ensure it is measurable in production. Own AI observability standards: Establish telemetry, tracing, logging, and alerting requirements for AI systems and agentic workflows. Own control validation for agentic systems: Verify that guardrails, policy checks, access boundaries, and execution constraints are functioning as intended. Own AI security event analysis: Detect, investigate, and document suspicious, unsafe, or non-compliant AI behaviors and coordinate response. Own implementation support for governance frameworks: Translate governance principles into technical and operational requirements that product and platform teams can adopt. Own AI trust metrics and reporting: Define KPIs, KRIs, and dashboards that show leadership whether AI systems are operating within approved trust and security boundaries. Own continuous improvement of AI controls: Use incidents, testing, behavioral findings, and stakeholder feedback to strengthen control design and reduce residual risk over time. You Are Likely To Succeed If: 5+ years of experience in one or more of the following: security engineering, detection engineering, observability engineering, site reliability engineering, application security, ML platform engineering, or AI governance implementation. Experience designing monitoring, logging, telemetry, or detection strategies for distributed systems, cloud services, or data-intensive applications. Familiarity with AI/ML system architecture, including large language models, retrieval-augmented generation, inference pipelines, model APIs, and agentic workflows. Experience translating governance, risk, or policy requirements into operational controls and measurable technical requirements. Strong understanding of security concepts such as identity and access management, least privilege, data protection, abuse prevention, auditability, and incident response. Experience investigating system behavior, identifying anomalies, and working cross-functionally to drive remediation. Hold industry certifications (or equivalent experience): CISSP, CCSP, GIAC Machine Learning Engineer (GMLE) Strong written communication skills, including ability to write standards, control definitions, runbooks, and leadership-facing summaries. Preferred Qualifications: Experience with AI observability tooling, tracing frameworks, or telemetry pipelines for LLM or agent-based systems. Experience implementing controls for AI safety, AI red teaming, prompt security, model misuse detection, or secure tool execution. Familiarity with Microsoft security, compliance, and AI governance ecosystems. Familiarity with trust and safety concepts for generative AI and autonomous systems. Experience supporting internal governance, risk, privacy, or compliance review processes for AI-enabled products. Experience building dashboards, alerts, and behavioral analytics for security or operational monitoring. Experience working in highly regulated or audit-sensitive environments. What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above! The annual on-target earnings for this position is anticipated to be up to $230 ~ $280K. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. The compensation package also includes equity. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have have US offices in Austin, Miami, Los Angeles (CA), and Cupertino (CA). If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Job Applicant Privacy Notice

Requirements

Define trustworthy and untrustworthy AI behavior
Establish telemetry, tracing, logging, and alerting requirements for AI systems
Verify that guardrails, policy checks, access boundaries, and execution constraints are functioning as intended
Detect, investigate, and document suspicious, unsafe, or non-compliant AI behaviors
Translate governance principles into technical and operational requirements
Define KPIs, KRIs, and dashboards that show leadership whether AI systems are operating within approved trust and security boundaries

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off

Skills

Agentic Trust Framework OWASP NIST AI RMF AI/ML systems Observability engineering Behavioral monitoring Policy Enforcement Misuse detection

AI Security Engineer

YipitData (Alternative)

Full Time

$230k - $280k

3 weeks ago

United States

Worldwide

Senior

Agentic Trust Framework

OWASP

NIST AI RMF

+5 more

Job Description

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world’s largest investment funds and corporations depend on. For three years and counting, we have been recognized as one of Inc’s Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Los Angeles (CA), Cupertino (CA), Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. About the Role: We are seeking an AI Security Engineer to lead the implementation, monitoring, and continuous improvement of security, governance, and trust controls for AI systems across the organization. This role will focus on operationalizing AI system security controls using the Agentic Trust Framework mapped to OWASP guidance and the NIST AI RMF, with particular emphasis on observability engineering, behavioral monitoring, policy enforcement, misuse detection, and risk-informed response. This person will serve as a bridge between Security, Engineering, Data, Platform, Compliance, and AI product teams to ensure AI systems are not only functional and performant, but also trustworthy, auditable, resilient, and aligned with enterprise governance requirements. The ideal candidate combines technical depth in AI/ML systems, strong security and monitoring instincts, and the ability to define practical controls for complex, fast-evolving agentic and generative AI environments. We expect U.S. based working hours with the majority of the team working East and Central Time Zones. In this role, you will: Own AI behavior monitoring: Define what trustworthy and untrustworthy AI behavior looks like, and ensure it is measurable in production. Own AI observability standards: Establish telemetry, tracing, logging, and alerting requirements for AI systems and agentic workflows. Own control validation for agentic systems: Verify that guardrails, policy checks, access boundaries, and execution constraints are functioning as intended. Own AI security event analysis: Detect, investigate, and document suspicious, unsafe, or non-compliant AI behaviors and coordinate response. Own implementation support for governance frameworks: Translate governance principles into technical and operational requirements that product and platform teams can adopt. Own AI trust metrics and reporting: Define KPIs, KRIs, and dashboards that show leadership whether AI systems are operating within approved trust and security boundaries. Own continuous improvement of AI controls: Use incidents, testing, behavioral findings, and stakeholder feedback to strengthen control design and reduce residual risk over time. You Are Likely To Succeed If: 5+ years of experience in one or more of the following: security engineering, detection engineering, observability engineering, site reliability engineering, application security, ML platform engineering, or AI governance implementation. Experience designing monitoring, logging, telemetry, or detection strategies for distributed systems, cloud services, or data-intensive applications. Familiarity with AI/ML system architecture, including large language models, retrieval-augmented generation, inference pipelines, model APIs, and agentic workflows. Experience translating governance, risk, or policy requirements into operational controls and measurable technical requirements. Strong understanding of security concepts such as identity and access management, least privilege, data protection, abuse prevention, auditability, and incident response. Experience investigating system behavior, identifying anomalies, and working cross-functionally to drive remediation. Hold industry certifications (or equivalent experience): CISSP, CCSP, GIAC Machine Learning Engineer (GMLE) Strong written communication skills, including ability to write standards, control definitions, runbooks, and leadership-facing summaries. Preferred Qualifications: Experience with AI observability tooling, tracing frameworks, or telemetry pipelines for LLM or agent-based systems. Experience implementing controls for AI safety, AI red teaming, prompt security, model misuse detection, or secure tool execution. Familiarity with Microsoft security, compliance, and AI governance ecosystems. Familiarity with trust and safety concepts for generative AI and autonomous systems. Experience supporting internal governance, risk, privacy, or compliance review processes for AI-enabled products. Experience building dashboards, alerts, and behavioral analytics for security or operational monitoring. Experience working in highly regulated or audit-sensitive environments. What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above! The annual on-target earnings for this position is anticipated to be up to $230 ~ $280K. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. The compensation package also includes equity. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have have US offices in Austin, Miami, Los Angeles (CA), and Cupertino (CA). If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Job Applicant Privacy Notice

Requirements

Define trustworthy and untrustworthy AI behavior
Establish telemetry, tracing, logging, and alerting requirements for AI systems
Verify that guardrails, policy checks, access boundaries, and execution constraints are functioning as intended
Detect, investigate, and document suspicious, unsafe, or non-compliant AI behaviors
Translate governance principles into technical and operational requirements
Define KPIs, KRIs, and dashboards that show leadership whether AI systems are operating within approved trust and security boundaries

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off

Skills

Agentic Trust Framework OWASP NIST AI RMF AI/ML systems Observability engineering Behavioral monitoring Policy Enforcement Misuse detection

Senior AI Security Engineer

Cashea

Full Time

$120,000 - $180,000*

3 weeks ago

Worldwide

Senior

OWASP Top 10

LLM Applications

API Security

+4 more

Job Description

Hello! We are Cashea 👋 and our mission is to give Venezuelans back the opportunity to access credit through a BNPL business model. Since our launch in 2022, we have been dedicated to promoting financial inclusion. Today we have more than 9 million active users, both consumers and merchants, and we have become a trusted brand in Venezuela, winning hearts and minds. About the role The Senior AI Security Engineer is responsible for testing, attacking, and defending the company's generative AI implementations: proprietary AI products, internal platforms, agents, integrations, and coding assistants. Combines an offensive profile (prompt injection, jailbreaking, LLM and agent red teaming) with a defensive profile (guardrails, input/output controls, best practices and guidance to teams). Works with AppSec, DevSecOps, product and engineering. Responsabilities: Perform red teaming and penetration testing on AI deployments: proprietary products using LLMs, agents, chatbots, coding assistants and any generative interface. This includes direct and indirect prompt injection, jailbreaking, data exfiltration via outputs, system prompt leakage, excessive agency and tool misuse. Assess the security of AI agents in production: permissions, tool use, function calling, plugins and autonomous action capabilities — identify abuse paths and confused-deputy scenarios. Design and implement guardrails and defensive controls based on offensive findings: input/output validation, content filtering, hardening of system prompts, context-based access controls and action limits for agents. Apply and operationalize controls from the OWASP Top 10 for LLM Applications, OWASP Top 10 for Agentic Applications and MITRE ATLAS across the organization’s products and platforms. Test and validate the robustness of existing guardrails in internal platforms and in products that expose AI to end users. Develop and maintain tools, scripts and automations for LLM red teaming, focusing on continuous and repeatable testing. Document findings with actionable remediation playbooks and support development teams in fixing and preventing AI vulnerabilities. Create and maintain best-practice standards for secure development with generative AI: how to build secure agents, how to integrate LLMs without exposing data, how to perform code review of AI-generated code. Collaborate with the SOC to define alerts and detection based on attack patterns against LLMs and agents. Requirements: 4+ years in Application Security, Penetration Testing or Security Engineering with demonstrable offensive testing experience. Strong knowledge of OWASP: Top 10 Web, LLM Applications, API Security. Hands-on experience attacking and/or defending systems with LLMs and generative AI: prompt injection, jailbreaking, data exfiltration, output manipulation, indirect prompt injection. Understanding of generative AI architectures: how an LLM works, RAG, embeddings, function calling/tool use, context windows, system prompts, autonomous agents. Experience in web application and API security. Python for tooling development, testing scripts and automation. Ability to document technical findings clearly and translate them into concrete actions for development teams. Advanced English. Why you'll love working at Cahsea At Cashea, we have a work culture based on trust and purpose. If you need a clue as to why we are a good choice, these are our core values: We don't work on autopilot. Everything we do is intentional. We love to develop ideas with full awareness of the impact they can have on our users. Your creativity and curiosity are our most important assets. Your voice matters. We listen and make space for ideas and feedback. Everyone belongs, and what's important to you is important to us. We value transparency. Clarity keeps us connected and grounded. Last but not least, we focus on real impact. If you want to work with us, fill out the application. We'd love to meet you!

Requirements

4+ years in Application Security, Penetration Testing or Security Engineering
Strong knowledge of OWASP: Top 10 Web, LLM Applications, API Security
Hands-on experience attacking and/or defending systems with LLMs and generative AI

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work

Skills

OWASP Top 10 LLM Applications API Security Generative AI Prompt Injection Jailbreaking Data Exfiltration

AI Governance Manager

Compare the Market

Full Time

$120,000 - $180,000*

3 weeks ago

United Kingdom

Worldwide

Senior

AI

Machine Learning

Data Science

+3 more

Job Description

AI Governance Manager – AI Systems & Risk Function: Data / AI Governance Location: London Curious about what’s next? So are we. Join Compare the Market and help to make financial decision making a breeze for millions. At Compare the Market, we’re a purpose-driven business powered by tech and AI. We’re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers. We’ve carved a meerkat-shaped niche and we’re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you’ll fit right in. What you’ll be doing: - Provide first-line governance for AI systems across their full lifecycle, from design through to deployment, monitoring,change and incident response - Lead technical assessments for AI “License to Operate” decisions, presenting clear, evidence-based recommendations to senior governance forums - including recommendations to escalate, redesign, or withhold approval where warranted - Independently evaluate and probe AI systems (including generative and agentic systems) to verify that they are safe, robust, and operating within risk appetite - Apply and contribute to evaluation, observability, and safety standards, and translate them into measurable system controls - Assess risks across complex AI systems, including multi-component interactions, agentic behaviours, foundation model supply chain risk, and emergent failure modes - Produce the technical risk picture for built AI systems - assessment, reporting, and metrics that feed governance forums and CTM's overall AI risk position - Consult on the design of high-risk AI systems, feeding in governance requirements early and providing constructive challenge through development - Partner with Data Science, ML Engineering, Software Engineering, Risk & Compliance teams, and inform the evolution of governance standards as AI capabilities and practice develop What we’re looking for: You’ll bring demonstrable technical depth in AI systems in production - through hands-on engineering, applied research, or comparable practitioner experience. You have strong instincts for AI safety and risk: able to identify what could go wrong with a system, reason about likelihood and impact, and recommend mitigations that work in practice. You're genuinely interested in how AI systems fail - including the non-obvious and emergent failure modes - and you can design and critically assess evaluation approaches for AI systems, including generative AI, RAG, and agentic architectures, rather than just applying off-the-shelf metrics. You're comfortable operating as advisor and assessor rather than builder, and comfortable being the dissenting technical voice in the room with senior stakeholders - able to make an evidence-based case for slowing down or rethinking delivery when warranted, while recognising when concerns don't justify holding things up. You'll write clearly and concisely - analysis that equips senior decision-makers to act. A background in data science, ML engineering, or AI safety/evaluation research is a strong plus, as is experience with approaches like multi-step evals, LLM-as-judge, or red-teaming, or operating in a regulated consumer or financial services environment. Why Compare the Market? We’re a business built for pace and performance. Here, you’ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress. We believe diverse teams make better decisions, and we’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive. If you’re ready to stretch yourself, raise the bar, and grow with a team that’s serious about performance, innovation, and purpose, we’d love to hear from you

Requirements

Provide first-line governance for AI systems across their full lifecycle
Lead technical assessments for AI License to Operate decisions
Independently evaluate and probe AI systems to verify that they are safe, robust, and operating within risk appetite
Apply and contribute to evaluation, observability, and safety standards
Assess risks across complex AI systems
Produce the technical risk picture for built AI systems
Consult on the design of high-risk AI systems
Partner with Data Science, ML Engineering, Software Engineering, Risk & Compliance teams

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget

Skills

AI Machine Learning Data Science Risk Management Governance Compliance

AI Evaluation Engineer (Data Analysis & Multi-Agent Systems)

Contract

$120,000 - $180,000*

3 weeks ago

Worldwide

Senior

Python

SQL

Docker

+2 more

Job Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for an AI Evaluation Engineer specialized in data analysis to design benchmark tasks that simulate real-world analytical workflows. You will create scenarios where AI systems must analyze large, messy, multi-source datasets, decompose tasks across multiple agents, and produce clear, verifiable conclusions. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) Responsibilities Design and develop multi-agent benchmark tasks focused on complex data analysis workflows Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data) Build tasks requiring: Cross-referencing across multiple data sources Anomaly detection and contradiction identification Statistical analysis and interpretation Define task decomposition strategies across specialized sub-agents (e.g., financial, technical, operational analysis) Develop verification logic to validate precise analytical outputs (not generic summaries) Implement evaluation pipelines using Python and SQL Create reproducible environments using Docker Analyze task performance and refine for clarity, difficulty, and scoring accuracy 5+ years of experience in data analysis or analytics-heavy roles Strong proficiency in Python (pandas, NumPy) and SQL Experience working with real-world, messy datasets (CSV, JSON, logs, reports) Ability to design analytical problems with clear, verifiable answers Solid understanding of statistics (distributions, correlations, outliers) Familiarity with AI benchmarks or evaluation environments (e.g., SWE-bench or similar) Hands-on experience with Docker (Dockerfiles, image builds, debugging) Nice to Have Experience in financial analysis, operations analytics, or risk analysis Exposure to data pipelines or ETL workflows Experience with data quality validation or anomaly detection systems Familiarity with AI/ML data workflows or evaluation frameworks

Requirements

8 hours per day with an overlap of 4 hours with PST
Design and develop multi-agent benchmark tasks focused on complex data analysis workflows
Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data)
Build tasks requiring: Cross-referencing across multiple data sources
Anomaly detection and contradiction identification
Statistical analysis and interpretation

Skills

Python SQL Docker Pandas NumPy

AI Evaluation Engineer (Data Analysis & Multi-Agent Systems)

Contract

$120,000 - $180,000*

3 weeks ago

Worldwide

Senior

Python

Pandas

NumPy

+2 more

Job Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for an AI Evaluation Engineer specialized in data analysis to design benchmark tasks that simulate real-world analytical workflows. You will create scenarios where AI systems must analyze large, messy, multi-source datasets, decompose tasks across multiple agents, and produce clear, verifiable conclusions. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) Responsibilities Design and develop multi-agent benchmark tasks focused on complex data analysis workflows Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data) Build tasks requiring: Cross-referencing across multiple data sources Anomaly detection and contradiction identification Statistical analysis and interpretation Define task decomposition strategies across specialized sub-agents (e.g., financial, technical, operational analysis) Develop verification logic to validate precise analytical outputs (not generic summaries) Implement evaluation pipelines using Python and SQL Create reproducible environments using Docker Analyze task performance and refine for clarity, difficulty, and scoring accuracy 5+ years of experience in data analysis or analytics-heavy roles Strong proficiency in Python (pandas, NumPy) and SQL Experience working with real-world, messy datasets (CSV, JSON, logs, reports) Ability to design analytical problems with clear, verifiable answers Solid understanding of statistics (distributions, correlations, outliers) Familiarity with AI benchmarks or evaluation environments (e.g., SWE-bench or similar) Hands-on experience with Docker (Dockerfiles, image builds, debugging) Nice to Have Experience in financial analysis, operations analytics, or risk analysis Exposure to data pipelines or ETL workflows Experience with data quality validation or anomaly detection systems Familiarity with AI/ML data workflows or evaluation frameworks

Requirements

8 hours per day with an overlap of 4 hours with PST
Design and develop multi-agent benchmark tasks focused on complex data analysis workflows
Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data)
Build tasks requiring: Cross-referencing across multiple data sources
Anomaly detection and contradiction identification
Statistical analysis and interpretation
Define task decomposition strategies across specialized sub-agents (e.g., financial, technical, operational analysis)
Develop verification logic to validate precise analytical outputs (not generic summaries)

Skills

Python Pandas NumPy SQL Docker

AI Evaluation Engineer (Data Analysis & Multi-Agent Systems)

Contract

$120,000 - $180,000*

3 weeks ago

Worldwide