Model Validation Specialist - AI Trainer - Freelance - 8-20 hrs/week - Remote at 10x Team

Senior

Model Validation

Quantitative Analytics

Statistical Analysis

+4 more

Job Description

Freelance | 8–20 hrs/week | Remote (EU/UK)

Are you an expert in model validation or quantitative analytics? Do you want to help shape the next generation of AI tools? 10x Team is looking for freelance Model Validation Specialists in the EU or UK to join our network of fractional professionals and contribute to advancing state-of-the-art AI systems.

What You’ll Do:

Review and critique AI-generated responses and outputs related to model validation, quantitative modeling, and analytics
Assess rigor and accuracy in methodologies, ensure validity of results, and verify adherence to real-world modeling standards
Draft and enhance realistic model validation scenarios, spanning use cases such as model risk assessment, stress testing, statistical analysis, and regulatory compliance
Evaluate AI reasoning on topics like data validation, parameter selection, and scenario evaluation
Identify gaps, unrealistic conclusions, or methodological errors in modeling or analysis
Create scenario variations from the perspective of different stakeholders, such as model validators, risk leads, analysts, and business decision makers

In simple terms:
You will use your validation and analytic expertise to ensure AI-generated content meets the highest standards in quantitative modeling, supporting the improvement of AI systems in financial, analytical, and modeling fields.

Who We're Looking For:

Experienced in model validation, quantitative analytics, or risk modeling
Based in the EU or UK
Several years' experience in financial modeling, model risk, or data analytics
Skilled with modern modeling frameworks, statistical tools, and best practices
Strong analytical eye for technical flaws, data issues, or unrealistic assumptions
Available 8–20 hours per week
Able to start within the next few weeks

This fully remote, flexible freelance role is ideal as a complement to your existing commitments.

Why Join?

Flexible hours; work from anywhere in the EU/UK
Apply your modeling validation expertise in innovative AI domains
Contribute to high-impact, widely used AI products
Clear scopes and straightforward onboarding
Potential for ongoing collaboration

Screening Process:
After applying, our process includes:

A short, AI-driven interview
A brief written assessment focused on validation methodology and reasoning
Compliance and credential verification

If selected, onboarding is fast and you can get started promptly.

#LI-AS1

Requirements

Experienced in model validation, quantitative analytics, or risk modeling
Several years' experience in financial modeling, model risk, or data analytics
Skilled with modern modeling frameworks, statistical tools, and best practices
Strong analytical eye for technical flaws, data issues, or unrealistic assumptions
Available 8–20 hours per week
Able to start within the next few weeks

Benefits

Flexible Hours
Remote Work
Performance Bonus
Professional Development
Training Budget
Wellness Programs

Skills

Model Validation Quantitative Analytics Statistical Analysis Machine Learning Python Data Analysis Risk Modeling

Job Description

Freelance | 8–20 hrs/week | Remote (EU/UK)

What You’ll Do:

Review and critique AI-generated responses and outputs related to model validation, quantitative modeling, and analytics
Assess rigor and accuracy in methodologies, ensure validity of results, and verify adherence to real-world modeling standards
Draft and enhance realistic model validation scenarios, spanning use cases such as model risk assessment, stress testing, statistical analysis, and regulatory compliance
Evaluate AI reasoning on topics like data validation, parameter selection, and scenario evaluation
Identify gaps, unrealistic conclusions, or methodological errors in modeling or analysis
Create scenario variations from the perspective of different stakeholders, such as model validators, risk leads, analysts, and business decision makers

Who We're Looking For:

Experienced in model validation, quantitative analytics, or risk modeling
Based in the EU or UK
Several years' experience in financial modeling, model risk, or data analytics
Skilled with modern modeling frameworks, statistical tools, and best practices
Strong analytical eye for technical flaws, data issues, or unrealistic assumptions
Available 8–20 hours per week
Able to start within the next few weeks

This fully remote, flexible freelance role is ideal as a complement to your existing commitments.

Why Join?

Flexible hours; work from anywhere in the EU/UK
Apply your modeling validation expertise in innovative AI domains
Contribute to high-impact, widely used AI products
Clear scopes and straightforward onboarding
Potential for ongoing collaboration

Screening Process:
After applying, our process includes:

A short, AI-driven interview
A brief written assessment focused on validation methodology and reasoning
Compliance and credential verification

If selected, onboarding is fast and you can get started promptly.

#LI-AS1

Requirements

Experienced in model validation, quantitative analytics, or risk modeling
Several years' experience in financial modeling, model risk, or data analytics
Skilled with modern modeling frameworks, statistical tools, and best practices
Strong analytical eye for technical flaws, data issues, or unrealistic assumptions
Available 8–20 hours per week
Able to start within the next few weeks

Benefits

Flexible Hours
Remote Work
Performance Bonus
Professional Development
Training Budget
Wellness Programs

Skills

Model Validation

Quantitative Analytics

Statistical Analysis

Machine Learning

Python

Data Analysis

Risk Modeling

Ready to Apply?

Join 10x Team today

Salary Range

€0.084k - €0.156k

Posted 3 months ago

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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. 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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

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Machine Learning

Data Science

+3 more

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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

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Senior AI Security Engineer

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$120,000 - $180,000*

22 hours ago

Worldwide

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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
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Benefits

401k Matching
Health Insurance
Paid Time Off
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Skills

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

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Contract

$120,000 - $180,000*

1 day 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*

1 day ago

Worldwide

Senior

Python

Pandas

NumPy

+2 more

Job Description

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*

1 day ago

Worldwide

Senior

Python

SQL

Docker

+2 more

Job Description

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 SQL Docker Pandas NumPy

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

Contract

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Python

SQL

Docker

+2 more

Job Description

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 SQL Docker Pandas NumPy

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

Contract

$120,000 - $180,000*

1 day ago

Worldwide

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Docker

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Job Description

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 SQL Docker Pandas NumPy

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Contract

$80,000 - $160,000*

1 day ago

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Python

SQL

Docker

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Job Description

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 SQL Docker Pandas NumPy

AI Governance & Explainability Engineer

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Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Machine Learning

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+2 more

Job Description

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The role combines AI/ML engineering depth, GenAI & Agentic AI design knowledge, and governance discipline to ensure AI solutions deliver explainability, can be trusted, defended, and audited in production, particularly within the Microsoft Fabric and Purview ecosystem. DEPARTMENTAL EXPECTATION OF EMPLOYEE Adheres to AF Policy and Procedures and the AF IPAAL Values and TRI Model * Acts as a role model within and outside AF. * Performs duties as workload necessitates. * Maintains a positive and respectful attitude. * Communicates regularly with the departmental leader about department issues. * Demonstrates flexible and efficient time management and ability to prioritize workload. * Consistently reports to work on time, prepared to perform duties of the position. * Meets Department productivity standards. ESSENTIAL DUTIES AND RESPONSIBILITIES * AI Governance by Design Engineering (Execution Focus not Policy writing) * Embed governance, explainability, and risk controls directly into AI, GenAI, and Agentic AI workflows * Translate enterprise AI policies, standards, and Responsible AI principles into: * Technical guardrails * Automated checks * Required evidence artifacts * CI/CD release gates * Implement governance as code and automation, eliminating reliance on manual or after-the-fact reviews. * AI Governance, Explainability & Human Oversight * Advise solution teams on explainability requirements for automated, semi-automated, and decision-support AI systems. * Ensure human-in-the-loop (HITL) controls are implemented where required by risk level or use case. * Define, generate, and manage explainability outputs that are: * Appropriate to the end-user or reviewer persona * Aligned to the decision context and operational use * Document explainability assumptions, limitations, and residual risk as governance evidence. * Metadata, Lineage & Governance Evidence Management * Operationalize AI Governance in Microsoft Purview by registering and maintaining: * AI models, features, prompts, agents, notebooks, and pipelines * Maintain end to end lineage across: * Data → features → models → inferences → outputs * Apply ownership, stewardship, sensitivity, and classification metadata. * Ensure governance is maintained: * Discoverable * Versioned * Traceable * Audit-defensible * GenAI & Agentic AI Governance Enablement * Apply governance patterns to LLMs, RAG, and Agentic AI solutions * Ensure governance traceability when synthetic data or augmented data is used for training, testing, or evaluation. * Implement Agentic AI lifecycle governance, including: * Observability of agent actions, deviations, and failures * Oversight of planning, reflection, and tool-use behavior * Controls on autonomous vs. constrained operation * Enable GenAI explainability, including: * Retrieval transparency for RAG (sources, relevance) * Inference context documentation * Decision trace generation where applicable * Explainability, Interpretability & Model Risk Controls * Own and operate explainability capabilities used for governance, audit, and trust. * Implement and operationalize techniques such as: * Feature attribution (e.g., SHAP or equivalent) * Driver and proxy detection * Global and local model explanations * Identify bias signals, risk indicators, and explainability gaps. * Store and manage explainability and observability outputs as governed, audit-ready artifacts. * Support audit, compliance, and risk review activities with defensible evidence. * Monitoring, Observability & Incident Readiness * Define and implement AI monitoring metrics, alerts, and thresholds for: * Performance degradation * Bias and ethical risk indicators * Drift and instability * Partner with MLOps and platform teams to integrate monitoring into production pipelines. * Support AI incident response and post-incident reviews with governance evidence. * Ensure all observability outputs are retained, traceable, and audit‑ready. * Governance Checkpoints & Release Gating * Define and enforce governance checkpoints within CI/CD pipelines (DEV-> TEST/UAT -> PROD). * Implement automated release checks for: * Required documentation and evidence artifacts * Explainability artifacts * Monitoring configuration * Data usage, lineage completeness, and medallion-layer alignment * Partner with Engineering and MLOps teams on promotion decisions while owning governance readiness, not platform approval. QUALIFICATIONS Required Qualifications * Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field. * Minimum 7 years of experience in AI/ML engineering, data science, GenAI/LLMs, NLP, Agentic AI, data governance, or related roles. * Demonstrated experience operationalizing AI governance, explainability, and risk controls in production environments. * Deep understanding of Agentic AI architectures and lifecycle considerations. Technical Skills * Strong proficiency in Python with hands‑on experience in AI/ML engineering workflows. * Working knowledge of Microsoft Fabric (Lakehouse, OneLake, notebooks, pipelines). * Experience with Microsoft Purview (catalog, lineage, classification, ownership). Experience with AI/ML and GenAI tooling, including: * Azure AI Foundry / Azure ML * ML explainability libraries (e.g., SHAP) * LLMs, RAG architecture, and prompt engineering * Familiarity with Agentic AI frameworks and patterns (e.g., tool use, planning, reflection). * Experience integrating governance controls into CI/CD pipelines using GitHub or Azure DevOps. * Understanding of cloud platforms (Azure preferred; AWS/GCP a plus * Experience producing audit‑ready technical documentation and evidence artifacts. * Familiarity with reporting and visualization tools (e.g., Power BI) for governance and monitoring views. Soft Skills * Strong analytical and problem‑solving abilities, particularly in risk‑based decision‑making. * Excellent written and verbal communication skills, with the ability to translate technical details into governance‑relevant insights. * Ability to lead governance execution initiatives and influence cross‑functional teams without direct authority. * Strong organizational skills with attention to detail and audit readiness. * Auto insurance or claims industry experience preferred. Preferred Qualifications * Experience evaluating or governing model training approaches (e.g., NLP, generative models) without owning full training pipelines. * Familiarity with synthetic data governance (generation methods, limitations, risk documentation). * Experience with additional AI platforms (Databricks AI, Snowflake Cortex, Dataiku). * Experience in regulated industries (insurance, financial services, healthcare). AMERICANS WITH DISABILITY SPECIFICATIONS PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch, or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. WORK ENVIRONMENT [Standard language tied to each job description] This is a fully remote position requiring reliable high-speed internet access and a dedicated workspace. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Requirements

AI Governance by Design Engineering
Embed governance, explainability, and risk controls directly into AI, GenAI, and Agentic AI workflows
Translate enterprise AI policies, standards, and Responsible AI principles into technical guardrails
Implement governance as code and automation, eliminating reliance on manual or after-the-fact reviews
Advise solution teams on explainability requirements for automated, semi-automated, and decision-support AI systems

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work

Skills

AI Machine Learning Python Purview Microsoft Fabric

Data & AI Governance Architect

Booking.com

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

ECG Management Consultants

Senior

Data governance

Data Architecture

Data Storage

+3 more

Job Description

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. About the team: The Data & AI Governance department enables extending the governance theme of policies, standards, processes and technology for governing data and AI to driving excellence in our approach to leveraging secure, trusted, accessible data for data driven decision making through: An overarching Data & AI Policy to include associated standards Data & AI Governance including meta and master data management Data & AI Delivery Governance Data & AI Quality including both technical and business quality measures This enables the maturity of Data and AI capabilities across Booking.com, unlocking innovation and business value through leveraging data and AI. Role Description: The Data & AI Governance Architect role will report into the Data & AI Governance Solution Architect in the Data & AI Governance department in the CDO office. You will work with the teams in different business units across Booking.com to co-create the architecture solutions for data & AI governance across data & AI initiatives. You will be responsible for implementing best practice, supporting decision making and ensuring solutions are scalable, resilient, secure, compliant and fit for the future and that the Architecture Design Authority is run smoothly and continually improving its efficiency and alignment with industry standards. It will also be your responsibility to work with the Solution Architect to align the program to the broader technical and enterprise data & AI strategies. Ensuring that the solution is well positioned to connect with an ecosystem of platform capabilities that combine to connect the trip for our customers and partners in a secure, trusted and compliant manner. Depth of technical knowledge is an important aspect of this role. However, the ability to partner with and advise non-technical stakeholders is of equal importance. In this role you will partner with product and engineering counterparts and the broader Data Architecture community to understand future direction and utilize this in the creation of architecture solutions. Key Job Responsibilities and Duties: Deep understanding and hands-on experience designing, building, improving, and operating high-performance, high-availability, scalable and secure data storage, governance and consumption solutions that scale and adapt to strategy Ability to build an architecture that can respond quickly to new use cases - develop an understanding of our business and stakeholders to underpin this Contribute to data architecture governance and decision processes Proficiency in modeling canonical data asset for critical data entities, and in protecting and promoting their golden source status - quick to recognise when they need to evolve to stay golden and how they can integrate to mature data and governance capabilities Proven experience employing best in class technology to continually optimise the tech stack and tools strategy for the data & AI governance platform(s) Identification of bottlenecks within system design that impede delivery velocity Data driven nature, expect it in design, lead by example Demonstrable experience of cloud technology (AWS or similar) and designing cloud native systems Approachable & effective communicator, explain design and challenges in a way the audience understands Coaching and mentoring, building our architecture excellence systemically through the team Ability to drive impact at scale across a large data product & engineering organisation Desirable skills: Experience of building out modern data architectures Experience of Data Governance & engineering Continuous Delivery and Agile delivery methodologies Experience with Conceptual and Logical Data Modeling practices Experience of data vault modeling including Hub, Link, and Satellite structures, how to architect it well and how to build an effective consumption layer on top Experience of integrating siloed businesses or verticals with diverse data and standards Knowledge and experience of enterprise architecture practices and capability-based planning Knowledge and experience of Data & AI Governance and management and how to weave into data architecture effectively API design Handle data following strict privacy and compliance requirements Provide support for internal teams Qualifications & Skills: Responsible with the Solution Architect for the integrity and excellence of the CDO Data & AI Governance architecture and its value Partner with Data Architecture community to co-create group wide data architecture practices with localized implementation in BUs Craft and promote data architecture principles for the Data & AI Governance team - take accountability for embedding them in culture and design Continually strive for architectural simplicity. Design and promote canonical assets that serve multiple use cases and drive integration for data and for our business - manage technical debt wisely Collaborate with data modelling community to drive out data modelling standards with the business units Consider and manage cost and security risk in design and maintenance, assume overall responsibility for managing data & AI Governance platform costs within the CDO and Central Tech Collaborate with Compliance and data & AI governance on measuring and managing risks effectively Partner with senior engineers to assess and protect quality of solution design, bringing an enterprise perspective to the table and protecting simplicity of the asset estate Design and lead architecture review forums - formal and informal to nurture design excellence and maintain the integrity of the architecture principles Be flexible, find the balance in working with senior engineers to agree the best solution for urgent tactical needs while keeping the need to return to architecture principles on the roadmap Develop communities of practice to embed and evolve architecture ways of working and improve the quality of architectural decision making Create the culture, processes and principles that embed data quality and Governance by design. Lead and illustrate by example managing standardisation through templated documents and architectural artifacts. Critical Thinking: Identify patterns and underlying issues in complex situations, and to find solutions by applying logical and analytical thinking and guide more junior members of the team in this topic. Constructively evaluate and develop ideas, plans and solutions by reviewing them, objectively taking into account external knowledge, initiating 'SMART' improvements and articulating their rationale and guide more junior members of the team in this topic. Benefits & Perks - Global Impact, Personal Relevance: Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include: Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country) Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit Living and working in Amsterdam, one of the most cosmopolitan cities in Europe Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide Working in a fast-paced and performance driven culture Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit Promote and drive impactful and innovative engineering solutions Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com Diversity, Equity and Inclusion (DEI) at Booking.com: Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.” We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Application Process: Let’s go places together: How we Hire This role does not come with relocation assistance. Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive. Pre-Employment Screening If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Requirements

Deep understanding and hands-on experience designing, building, improving, and operating high-performance, high-availability, scalable and secure data storage, governance and consumption solutions
Ability to build an architecture that can respond quickly to new use cases
Contribute to data architecture governance and decision processes
Partner with product and engineering counterparts and the broader Data Architecture community
Develop an understanding of our business and stakeholders to underpin architecture solutions

Benefits

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

Skills

Data governance Data Architecture Data Storage API Experience Cloud Computing Data Consumption

Associate Director of Cybersecurity, Physical Security, and AI Governance

Full Time

$120,000 - $180,000*

1 day ago

United States

Worldwide

Senior

Cybersecurity

Data Analytics

Artificial Intelligence

+3 more

Job Description

Overview With over 50 years of proven success, ECG, ranked as a Best Midsized Firm to Work For 2025 by Consulting Magazine, is the most experienced healthcare consulting firm in the US. Working exclusively in this space, our people consistently demonstrate their ability to solve challenges for providers and achieve better patient outcomes. Across our eight office locations, we’re seeking individuals who will show the courage to find innovative solutions and make a direct impact on the delivery of healthcare services nationwide. About ECG ECG is a national consulting firm that is redefining healthcare together with its clients. We provide a broad range of strategic, financial, operational, and technology-enabled consulting services to the full continuum of care, including hospitals, health systems, medical groups, academic medical centers, children’s hospitals, cancer centers, ambulatory surgery centers, investors, and payers/health plans. Our work focuses on creating practical, tailored solutions that help clients maximize resources and achieve sustainable results. We value collaboration, integrity, and innovation, and are committed to fostering an inclusive and supportive work environment. Job Details Your Opportunity with ECG: Associate Director of Cybersecurity, Physical Security, and Artificial Intelligence (AI) Governance Reporting to the IT director, the associate director is responsible for defining and advancing the organization’s long‑term approach to cybersecurity, physical security, data governance, and responsible AI use. This role is heavily strategic and governance focused. The associate director establishes vision, policy, and guardrails; evaluates risk; and provides executive‑level insight—while partnering with IT, data and analytics, facilities, legal, compliance, and business leaders to support execution. Your Responsibilities May Include Enterprise Security, Data, and AI Governance Strategy Define and maintain a multiyear enterprise strategy spanning: Cybersecurity. Physical security. Data analytics governance (internal data focus, external client data protection). AI and automation risk. Ensure security, data, and AI considerations are embedded into IT architecture, cloud platforms, analytics initiatives, and application delivery. Advise IT leadership on risk, opportunity, and investment priorities related to emerging technologies. Translate technical, physical, and AI‑related risks into clear business impact for executive decision‑making. AI and Data Governance Establish and maintain the organization’s AI governance framework, including: Acceptable and responsible AI use. Data privacy, security, and ethical guardrails. Oversight and accountability for AI‑enabled tools. Partner with data and analytics teams to define standards for data classification, protection, and analytics platform security. Serve as the escalation point for AI‑related risk, misuse, or policy exceptions. Balance security needs with business needs in a manner that ensures safe practices while not prohibiting key components of business objectives. Governance, Policy, and Risk Management Own enterprise governance for cybersecurity, physical security, data protection, and AI use within the ECG organization. Develop and maintain policies, standards, and control objectives. Lead or oversee enterprise risk assessments across cyber, physical, data, and AI domains. Align governance practices with recognized frameworks, such as NIST, ISO, and applicable privacy or AI standards. Cross‑Functional Leadership and Collaboration Provide strategic oversight into cybersecurity, physical security, and data governance functions (direct or matrixed). Partner closely with IT infrastructure, applications, architecture, data and analytics, HR, legal, and compliance teams. Act as the security, data, and AI-governance authority within IT leadership forums. Promote a culture of responsible innovation that enables progress while maintaining trust and control. Investment, Metrics, and Executive Reporting Advise IT leadership on security, analytics, and AI investment priorities. Define and track KPIs and KRIs related to security posture, data governance maturity, and AI risk. Deliver executive‑ready reports on trends, risks, and program effectiveness. Incident Preparedness and Oversight Define enterprise‑level strategies for cyber incidents, physical security events, data breaches, and AI misuse scenarios. Ensure leadership readiness for high‑impact incidents. Lead post‑incident strategic reviews focused on systemic improvement and governance maturity. Collaboration with Legal and Compliance Partner with SHS and ECG compliance to ensure AI and data governance aligns with regulatory, contractual, privacy, and ethical obligations. Codevelop policies addressing acceptable AI use, intellectual property, confidentiality, and third‑party risk. Support coordinated responses to AI‑related incidents, audits, or regulatory inquiries. Qualifications Required Qualifications Bachelor’s degree in information security, computer science, data management, or a related field (or equivalent experience) Typically, 7+ years of experience in cybersecurity, risk management, enterprise IT, data governance, or related leadership roles Demonstrated experience leading enterprise‑level security strategy and governance Strong understanding of: Cybersecurity and physical security principles Data analytics platforms and data protection AI and generative AI risk, governance, and ethical considerations Proven ability to communicate complex risk topics to executive audiences Preferred Qualifications Advanced degree (MBA, MS, or equivalent) Relevant certifications such as CISSP, CISM, CRISC, CPP, CDMP, or AI-governance credentials Experience supporting cloud‑based, analytics‑driven, and AI‑enabled enterprise environments Experience presenting to executive leadership or governance committees Experience with Microsoft environments (Azure, Fabric) Experience with security products, including but not limited to: Defender Sentinel Purview Entra Azure Web Application Firewall Brivo badging system Job Locations Remote Travel as needed (approximately 10%) Schedule Full time/exempt What You Can Expect of Us To reward our driven, innovative, and passionate employees, we’ve built a company culture that’s centered on performance. We offer an attractive compensation package, challenging work, and an entrepreneurial environment where you can take ownership of your career—and get out as much as you put in. This job is eligible to participate in ECG’s annual incentive compensation program, which reflects ECG’s pay-for-performance philosophy. The job is also eligible to participate in ECG’s benefit plans, which include medical, dental, and vision coverage; a 401(k) matching program; unlimited PTO; and other wellness programs. Apply now and make an impact for years to come. To begin the recruitment process, please submit your resume via our career site at https://careers.ecgmc.com. ECG provides equal employment opportunities to all employees and applicants for employment without regard to sex, race, color, religion, national origin, citizenship, ancestry, age, disability, pregnancy, medical condition (cancer and genetic characteristics), genetic information, gender, gender identity or expression, sexual orientation, marital status, military or veteran status, or any other legally protected characteristic. We participate in E-Verify as part of our onboarding process. Having the permanent legal right to work in the United States is a condition of employment. ECG is not currently able to provide assistance to candidates requiring sponsorship or a visa. #LI-SC1 #LI-Remote

Requirements

Define and maintain a multiyear enterprise strategy spanning Cybersecurity, Physical security, Data analytics governance, and AI and automation risk.
Establish and maintain the organization's AI governance framework, including Acceptable and responsible AI use, Data privacy, security, and ethical guardrails.
Serve as the escalation point for AI-related risk, misuse, or policy exceptions.
Balance security needs with business needs in a manner that supports the delivery of healthcare services nationwide.
Partner with IT, data and analytics, facilities, legal, compliance, and business leaders to support execution.

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Professional Development
Remote Work
Retirement Plan

Skills

Cybersecurity Data Analytics Artificial Intelligence Cloud Platforms Physical Security Application Delivery

Model Risk Specialist

Nubank

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Python

SQL

Scala

+3 more

Job Description

About Us Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/ Our Model Risk team At Nubank we heavily rely on data, machine learning, AI, and other quantitative models & techniques to drive our strategy and provide the best experience and products to our customers. The position holder will be part of the Model Risk team, within the Risk Management structure at Nubank. The Model Risk team is the second line of defense for our models. Our mission is to ensure Nubank relies on world-class solutions that will lead to optimal and sustainable decisions. We act by providing independent review & challenge to models, staying tuned to cutting edge techniques, along with business, customers and regulatory needs. We also work to identify and control risks related to our models, as well as in the definition and implementation of feedback loops to constantly improve them. The position This is a senior individual contributor position, in which you will: Conduct independent reviews of IRRBB, market & liquidity risk and stress testing models, identifying and validating model's uses, hypothesis, data, methodologies and compliance with regulatory requirements. Provide effective challenges to models and modelling processes, identify risks and enhancement opportunities, and engage with other analysts to strengthen our decision making tools and capabilities. Develop playbooks and toolkits (Python, SQL, Scala, etc.) to optimize models reviews, ongoing monitoring, and assess the impact of models in decisions. Contribute to the construction of Nubank's Model Risk Management and Model Review processes with autonomy and creativity. Discuss and report model risk status and independent opinions with different stakeholders, including senior managers and regulators. Be exposed to different types of decisions and processes (e.g. credit, fraud, operations and in different countries) Ensure the team maintains a high level of technical excellence. Work in a multicultural, diverse and highly skilled environment. Basic Qualifications Experience developing or validating market risk, liquidity risk or stress testing models used to leverage important decision-making processes or to solve relevant academic problems. Technical Knowledge of risk metrics (DV01, VaR, Delta EVE, Delta NII, LCR) and pricing models of financial instruments (fixed income and basic derivatives). Strong knowledge on risk management regulation (model risk management, ICAAP, IRRBB, FRTB). Strong programming skills. Proactive, autonomous and ability to learn fast, with strong analytical, and data driven problem-solving skills, motivated by challenges. Organized and detail-oriented, without losing track of the big picture. Good communication and interpersonal skills, with the ability to influence and effectively discuss complex topics with both technical and non-technical stakeholders. AI Skills: Independently build or guide teams in building no-code/low-code AI automations on safe and effective usage patterns. Make high-stakes decisions on AI appropriateness, investing in value-added projects and experiments. English language proficiency. Preferred Qualification Previous experience in market & liquidity risk management, stress testing or other risk management frameworks; Technical knowledge of finance, ALM and Hedge Accounting; Academic or professional experience in statistical and mathematical model application and/or validation; Strong knowledge on risk management regulation (model risk management, PRA SS1/23, FED SR 11-7, FED SR 26-2). Master degree or relevant undergraduate scientific project. Financial or risk certificate (FRM or CFA). Previous experience with programming languages and tools (Python, SQL, Scala, Databricks, Github, Cursor). Benefits Chance of earning equity at Nubank Food/ Meal Card (Vale-Refeição and/or Vale Alimentação) Public Transportation Commuting Benefit (Vale-Transporte) NuCare – Psychological, Financial and Legal Assistance Program Life Insurance Medical Plan Dental Plan NuLanguage – Language Course Program Nucleo - Our learning platform of courses Extended Parental Leave Daycare Allowance Parental Consultancy Work-from-home Allowance Gym Partnerships 30 days of paid vacation Relocation Assistance Package, if applicable Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

Requirements

Experience developing or validating market risk, liquidity risk or stress testing models
Technical knowledge of risk metrics (DV01, VaR, Delta EVE, Delta NII, LCR)
Conduct independent reviews of IRRBB, market & liquidity risk and stress testing models
Provide effective challenges to models and modelling processes
Develop playbooks and toolkits to optimize models reviews, ongoing monitoring, and assess the impact of models in decisions

Benefits

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

Skills

Python SQL Scala Machine Learning Risk Metrics Data Intelligence

AI Security Engineering Manager

Ford Motor Company

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

AI Security

Python

Java

+3 more

Valuation Control Model Risk - Associate

Full Time

PLN 175.75k - PLN 245k

2 days ago

Worldwide

AI Risk & Controls

Mid

Python

VBA

Excel

+2 more

Job Description

The Valuation Control Group (VCG) is an independent group within Finance whose primary responsibility is to ensure that the firm’s risk portfolios are fairly valued. The group sets independent pricing and valuation adjustments policies, executes & generates results, and then works with Trading to remediate and prevent issues on an ongoing basis. VCG also works to identify and control potential valuation risk concentrations, uncertainty in pricing inputs, and valuation model uncertainty. The group is organized along business lines such as the Investment Bank and Consumer & Community Bank and works closely with Traders, CFOs, Market Risk, Product Control, Model Governance and Quantitative Research to ensure a complete understanding of business issues and the accurate execution of valuation policy. The group plays a critical role within the Firm and has exposure to senior management, Business heads, Regulators, and both internal and external audit. VCG is looking to hire an Associate (601/602) to specialize in model risk and drive the model risk agenda for the group, including documentation and review of fair value and prudent valuation methodologies and assessment of mitigants and compensating controls for associated model risks. Job responsibilities * Assists in overseeing model risk for the Valuation Control Group through the tracking of model limitations, ongoing model performance metrics and independent testing of model risk mitigants and compensating controls for fair value and prudent valuation adjustment models. * Creates, reviews and evaluates documentation of fair value and prudent valuation adjustments models across a broad set of products for consistency and adherence to the firm’s model development and review standards. * Works closely with Model Review and Quantitative Research groups and model owners during review and approval cycles, to resolve queries and ensure adherence to the firm’s model risk management controls. * Introduces enhancements to the strategic target state risk management framework for fair value and prudent valuation adjustments models. * Summarizes and communicate model risks to senior stakeholders in a clear and concise manner. * Develops best practice guidelines and training materials related to Model Risk Management Required qualifications, capabilities, and skills * Experience with model validation and/or development is a strong plus. * Experience of valuation control processes is desirable but not a requirement. * Knowledge and experience across financial products, models, and asset classes. * Analytical, quantitative aptitude and attention to detail * Strong verbal and written communications skills to interface with a wide variety of functional areas. * Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues. * Working knowledge of Python and/or VBA and Excel. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Global Finance & Business Management works to strategically manage capital, drive growth and efficiencies, maintain financial reporting and proactively manage risk. By providing information, analysis and recommendations to improve results and drive decisions, teams ensure the company can navigate all types of market conditions while protecting our fortress balance sheet.

Requirements

Experience with model validation and/or development is a strong plus.
Experience of valuation control processes is desirable but not a requirement.
Knowledge and experience across financial products, models, and asset classes.
Analytical, quantitative aptitude and attention to detail.
Strong verbal and written communications skills to interface with a wide variety of functional areas.
Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues.

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Performance Bonus
Remote Work
Training Budget

Skills

Python VBA Excel Model Validation Model Development

Valuation Control Model Risk - Associate

Full Time

PLN 175.75k - PLN 245k

2 days ago

Worldwide

AI Risk & Controls

Mid

Python

VBA

Excel

+2 more

Job Description

Requirements

Experience with model validation and/or development is a strong plus.
Experience of valuation control processes is desirable but not a requirement.
Knowledge and experience across financial products, models, and asset classes.
Analytical, quantitative aptitude and attention to detail.
Strong verbal and written communications skills to interface with a wide variety of functional areas.
Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues.

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Performance Bonus
Remote Work
Training Budget

Skills

Python VBA Excel Model Validation Model Development

Executive Manager, AI Governance & Operations

IAG AUS

Full Time

$120,000 - $180,000*

2 days ago

Australia

New Zealand

Senior

Machine Learning

Data Science

+5 more

Job Description

At IAG, we’re ready for you. We're the largest general insurance group in Australia and New Zealand. Our family of brands turns the IAG purpose of making your world a safer place into action by helping everyday Aussies and New Zealanders, supporting their ambitions and making insurance accessible. As Executive Manager, AI Governance & Operations, you’ll define and establish how AI is safely, responsibly and effectively used across IAG. This is a shaping role at the forefront of enterprise AI adoption—focused on setting frameworks, guardrails and ways of working that enable thousands of AI‑enabled tools and agents across the business. Combining deep ethical AI expertise with strong consulting capability, you’ll work closely with senior leaders to balance innovation with regulatory confidence. You’ll shape enterprise AI governance across strategy, operations and adoption, enabling teams to innovate at scale while ensuring trust, compliance and sustainable value in a highly regulated insurance environment. This is a permanent full-time role based in Gadigal Country (Darling Park 2, Sydney) or Naarm (Melbourne). What You'll Do Shape how AI tools, agents and platforms are used safely and effectively across the business. Define and own enterprise AI governance frameworks, standards and lifecycle controls. Establish AI risk, assurance and incident management capabilities across the enterprise. Partner with senior stakeholders to embed ethical and responsible AI practices at scale. Enable federated AI capability through communities of practice, playbooks and guidance. Influence enterprise decisions on AI adoption, prioritisation and value realisation. Continuously evolve governance and operating models as AI maturity and regulation evolve. What You'll Bring Senior leadership experience shaping AI strategy, governance or operating models at scale Deep expertise in ethical, responsible and compliant AI in regulated environments Consulting‑grade stakeholder engagement skills, including C‑suite influence End‑to‑end understanding of AI initiatives from ideation through to scaled adoption Strong governance, risk management and assurance capability, ideally in insurance or FS Experience leading cross‑functional teams across data, engineering, product and business Commercial mindset with the ability to translate AI opportunities into business outcomes What We Offer Boosted superannuation with 13% as standard. 20 days annual leave + 5 days MyLeave (extra leave for what’s important to you). Work from home and many more flexibility options with myFlex. Up to 50% off personal insurance, including home and motor insurance. Partner discounts on private health insurance, tech & appliances, and many more. Industry-leading 20 weeks paid parental leave. Access to LinkedIn Learning, the award-winning IAG Academy, study assistance and secondment opportunities. *employment type eligibility criteria apply Applications close: Wednesday 27 May 2026 11:59PM AEST Please note – full time, part time, and job-sharing arrangements will be considered. Adjustments and Support If you require any support or adjustments to participate equitably in our recruitment process, we encourage you to reach out to [email protected] for a confidential conversation. More About Us As part of IAG you'll enjoy a world of career opportunities, a purpose-led place focused on creating connection and belonging, and where you can create meaningful impact every day and grow your career beyond the expected. That’s not just words. It’s our people promise. We're ready for you with unexpected opportunities for your career, your work-life and your ability to make a difference. We celebrate all viewpoints shaped by life experiences and culture, and are guided by the knowledge and voice of Aboriginal and Torres Strait Islander peoples, businesses, and communities. We collaborate on Indigenous-led solutions that enable growth and create meaningful change for our customers and employees.

Requirements

Senior leadership experience
Deep expertise in ethical AI
Consulting-grade stakeholder engagement skills
End-to-end understanding of AI initiatives
Strong governance, risk management and assurance capability
Commercial mindset with ability to translate AI opportunities into business outcomes

Benefits

Parental Leave

Skills

AI Machine Learning Data Science Ethics Governance Risk Management Compliance Regulation

Analyst II - Information Management, AI Governance

NYU Langone Health

Full Time

$7048.161k - $1061.802k

2 days ago

United States

Worldwide

Senior

Python

SQL

AI/ML

+4 more

Job Description

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health [http://nyulangone.org], the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu [http://med.nyu.edu/], and interact with us on LinkedIn [https://www.linkedin.com/company/nyulangonehealth/?viewAsMember=true], Glassdoor [https://www.glassdoor.com/Reviews/NYU-Langone-Health-Reviews-E121521.htm], Indeed [https://www.indeed.com/cmp/Nyu-Langone-Health/reviews], Facebook [https://facebook.com/NYUSchoolofMedicine], Twitter [https://twitter.com/nyuschoolofmed] and Instagram [https://instagram.com/nyuschoolofmed]. Position Summary: We have an exciting opportunity to join our team as a Analyst II - Information Management, AI Governance. The AI Governance Analyst supports the safe, legal, and responsible development of AI/ML applications across NYU Langone Health. This role leads the intake of AI governance reviews, coordinates the review and preparation of risk reports and recommendations, supports submissions for AI/ML governance reviews, and communicates decisions. In addition, this role develops tools and processes that strengthen governance practices and lifecycle monitoring. The analyst acts as a bridge between mission areas, technical teams, and AI/ML governance at NYU Langone Health, promoting transparency, accountability, and alignment with institutional policies and national frameworks such as the NIST AI RMF and NYS-P24-001. Job Responsibilities: AI Intake & Processing - 40% Guide staff through the full lifecycle of AI/ML use case intake, including submission support, intake training, and lifecycle tracking. Support risk assessments and governance reviews by scheduling key stakeholders, maintaining intake logs, organizing use case materials, and preparing committee materials. Coordinate with enterprise teams to maintain a robust AI/ML inventory across pilot, production, and retirement phases. Ensure completeness and accuracy of intake records and documentation, leveraging automated tracking tools and, in some cases, structured data formats. Preferred: Use tools such as Python or SQL to support intake analytics, metadata quality checks, and validation readiness. Cross Functional Committee & Stakeholder Communications - 20% Serve as an AI/ML governance liaison between clinical, research, operational, and engineering teams, ensuring transparency across the full AI lifecycle. Prepare comprehensive AI/ML documentation packages for review, including use case summaries, risk triggers, evaluation outputs, and validation evidence. Support committee presentations by translating technical model details into digestible insights for diverse stakeholders. Communicate governance decisions, required actions, and timelines with clarity and accountability. Participation in Development of AI/ML Tools for NYULH - 20% Participate in document and share tools that enhance AI/ML governance, including tracking dashboards, model evaluation utilities, and monitoring templates. Monitor and maintain centralized governance systems tracking intake status, model health, and audit trails. Use technical skills (Python, SQL, JSON) to automate and scale governance functions and testing/validation methods. Partner with data engineers and domain experts to co-design training materials and technical infrastructure that promote sustainable, legal, and ethical AI use across NYULH. Controls, Benchmarking, & Monitoring Support - 20% Maintain best-practice templates and reference materials for: * Risk mitigations and safeguard implementation * Benchmarking and monitoring calculations using metrics like ROC-AUC, F1 score, and precision/recall * Calibration and drift-detection planning * Data quality and output control protocols * Algorithmic bias assessments Collaborate with data science and informatics teams to integrate monitoring logic using Python, SQL, or R. Provide operational support for annual reviews, model audits, and subgroup performance assessments. Apply familiarity with evaluation methods and NIST AI RMF to ensure risk model oversight. Minimum Qualifications: * 1+ years of experience in data engineering, data analysis, or applied informatics, with demonstrated ability to translate technical work into operational impact * Bachelor's degree in data science, mathematics, engineering, bioinformatics, or a related field; or equivalent combination of education and relevant experience * Proficient in Python, SQL, R, and JSON, with hands-on experience supporting data pipelines, controls monitoring, and audit workflows * Strong grasp of machine learning evaluation metrics, including ROC-AUC, F1 score, precision/recall, calibration curves, and other benchmarking methods used in comparative model analysis * Experience working with structured templates and tools to support monitoring, bias auditing, explainability, and validation across the AI lifecycle * Deep commitment to ethical AI, transparency, and lifecycle stewardship ensuring models remain accurate, accountable, and aligned with institutional and public trust * Ability to collaborate across diverse teams with strong organizational and communication skills * Familiarity with AI oversight f rameworks including NIST AI RMF, NYS-P24-001, and OMB M-24-10 Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal [https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf]. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $70,481.61 - $106,180.20 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here [https://cdn-static.findly.com/wp-content/uploads/sites/290/2017/04/pay-transp_formattedESQA508c.pdf]

Requirements

Guide staff through the full lifecycle of AI/ML use case intake
Support risk assessments and governance reviews
Coordinate with enterprise teams to maintain a robust AI/ML inventory
Ensure completeness and accuracy of intake records and documentation
Serve as an AI/ML governance liaison between clinical, research, operational, and engineering teams
Develop tools and processes that strengthen governance practices and lifecycle monitoring

Benefits

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

Skills

Python SQL AI/ML Data governance Risk Management Compliance Governance

AI Security Field CTO, Americas

Cato Networks

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Americas

Senior

Machine Learning

Cyber Security

+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 AI Security Field CTO, Americas will be part of the Field AI Engineering team which is a unique group of professionals combining strong technical expertise, mostly 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. You will act as an expert on the entire AI Security space and product offering. You’ll be the go-to role that supports our GTM organization needs. Cato’s Field AI Engineering team is the bridge between Customer, Pre-sales, Product Management, and Engineering. The AI Security Field CTO, Americas has full visibility of all the projects and activities in all domains with the ability to forward the message out to the field and influence our decisions with customers' and partners' feedback. What You'll Do: Work closely with our customers, partners, Sales, R&D, Marketing, Ops, UI/UX, Documentation, Training, and Customer Success teams to deliver best-in-class AI security product in the market. Build product demos, as well as demonstrate the product for strategic accounts and high-profile meetings. Drive AI Security deal success by handling complex technical sales engagements. Break down strategic product-related goals into actionable tasks and manage the execution of these tasks across all relevant departments. Conduct product research, write detailed product design documents, and manage the end-to-end execution to deliver the feature. Create and deliver presentations for customers, partners, Sales, Customer Success, and Professional Services teams. Support sales in large opportunities, RFI/RFP, and collect requirements and gaps. Sales enablement and deep product collateral creation. 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. What You'll Bring: Minimum of 10 years in B2B Pre-Sales experience, Solutions Architect, Field CTO or Product Management in Cyber Security vendors is required. Strong technical background in AI, Software Engineering or Cyber Security. Strong presentation skills and written communication in emails, RFPs, and reports. Business driven and Customer first attitude. Support the sales organization in securing new business. Strong product vision. Ability to conduct market and user research by performing competitive analysis, having ongoing contact with clients to understand their needs, tracking and analyzing user behavior, and following up and responding to user feedback. Travel as needed to meet our customers and partners face to face. 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

Minimum of 10 years in B2B Pre-Sales experience
Solutions Architect
Field CTO or Product Management in Cyber Security vendors
Strong technical background in AI, Software Engineering or Cyber Security
Ability to lead major customer engagements
Excellent customer-facing skills
Ability to tackle complex challenges faced by customers
Expertise in AI Security space and product offering

Benefits

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

Skills

AI Machine Learning Cyber Security Security Software Engineering Cloud Networking

Risk Management - Model Risk Program Associate

Full Time

$135k - $150k

2 days ago

Worldwide

Mid

Python

Machine Learning

LLM

+4 more

Job Description

Join JPMorgan Chase’s Risk Management and Compliance team, where your expertise will drive the re-engineering of how model risk is managed across the firm. As part of the Model Risk Governance and Review (MRGR) AI Center of Excellence (AI COE) team, your work will be instrumental in transforming the model risk lifecycle and enabling a new paradigm for how risk professionals and model developers collaborate. As a Risk Management - Model Risk Program Associate in the Model Risk Governance and Review (MRGR) AI Center of Excellence (AI COE) team, you will design and build AI-native tools, workflows, and platforms that re-engineer how model risk professionals conduct validation and governance. You will also bring deep applied AI expertise to the review of AI/ML and LLM-based models deployed across the firm. This role places you at the forefront of how Generative AI is being operationalized in financial services. Job Responsibilities * Design, build, and deploy AI and LLM-based solutions that transform core MRGR processes and workflows during validation and governance. * Work closely with MRGR teams to identify opportunities for AI to enhance and modernize model risk management practices and to understand the unique challenges and requirements of model risk governance. * Remain current with emerging AI and LLM developments, get hands-on with new capabilities to understand their strengths and limitations, assess how they can be applied within MRGR workflows, and communicate actionable recommendations to stakeholders. * Enable MRGR teams to effectively leverage AI tools and platforms in their day-to-day workflows, ensuring adoption is aligned with evolving best practices across the organization. * Conduct independent model validation and governance activities to mitigate model risk, with a focus on AI/ML models, LLM-based applications, and Generative AI systems. Required Qualifications, Capabilities, and Skills * Master's or PhD degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, or a related field, with strong quantitative and analytical skills. * Hands-on experience with applied AI/ML and LLM technologies, including prompt engineering, RAG architectures, agentic AI systems, context engineering, agent skills, MCP architecture, agentic harness, LLM evaluation and beyond. * Strong foundation in statistics, econometrics, and machine learning techniques, with a deep understanding of model assumptions, limitations, explainability, and performance evaluation. * Familiarity with LLM application tooling and frameworks (e.g., Claude Code, GitHub Copilot, LangChain, vector databases, embedding models, orchestration layers) and an understanding of how these components integrate in end-to-end deployed systems. Passion to stay at the forefront of how Generative AI is being operationalized in financial services and a desire to be a hands-on builder of AI solutions. * Strong communication skills with the ability to present complex AI concepts to both technical and non-technical audiences. A risk and control mindset with the ability to ask incisive questions, assess the materiality of model issues, and escalate appropriately JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

Requirements

Master's or PhD degree in a quantitative discipline
Hands-on experience with applied AI/ML and LLM technologies
Strong foundation in statistics, econometrics, and machine learning techniques
Familiarity with LLM application tooling and frameworks
Passion to stay at the forefront of how Generative AI is being operationalized in financial services
Strong communication skills
Ability to design, build, and deploy AI and LLM-based solutions

Benefits

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

Skills

Python Machine Learning LLM statistics Agentic AI systems Econometrics RAG architectures

Senior Application Security Tester & AI Red Team Subject Matter Expert

Full Time

$150,000 - $250,000*

2 days ago

Worldwide

Senior

OWASP ZAP

Nmap

Postman

+5 more

Job Description

The Senior Application Security Tester & AI Red Team Subject Matter Expert is a senior-level offensive security role for a tester who has mastered modern web and API security and is now defining how Evolve Security tests AI-enabled applications, large language models, and agentic systems. This role wears two hats: hands-on senior application penetration tester for our most complex client engagements, and the firm-wide subject matter expert who builds, scales, and represents Evolve Security’s AI red team practice. The senior tester executes assessments with full autonomy, owns the technical relationship with client security and engineering leadership, mentors mid-level engineers and OSOC analysts, and is the recognized internal authority on offensive AI/ML testing methodology, tooling, and threat modeling. Typical Experience: 5–8+ years of offensive security experience with a deep concentration in web application and API penetration testing, plus demonstrable hands-on work testing AI/ML systems — LLM-backed applications, RAG pipelines, fine-tuned models, multi-agent systems, or production ML inference. A track record of dozens of completed assessments, published research, conference talks, CVEs, or open-source contributions is expected. Domain Expertise: Mastery of web application and API security beyond the OWASP Top 10 — business logic abuse, complex authentication and authorization flows (OAuth 2.0 / OIDC, SAML, JWT, mTLS), SSRF chains, deserialization, request smuggling, prototype pollution, and modern SPA / GraphQL attack surface. Equally fluent in the OWASP Top 10 for LLM Applications and OWASP ML Top 10 — prompt injection (direct, indirect, multi-modal), jailbreaks and safety bypasses, insecure output handling, training data poisoning and extraction, model denial of service, supply chain vulnerabilities in model and plugin ecosystems, excessive agency in agentic systems, sensitive data leakage from system prompts and embeddings, and vector store / RAG poisoning. Technical Skills: Expert with the modern offensive toolchain — Burp Suite Pro (including custom extensions), OWASP ZAP, Nuclei, Postman, Nmap, Metasploit, BloodHound — and able to build bespoke tooling when the off-the-shelf option falls short. Comfortable with AI red-teaming tooling such as Garak, PyRIT, Promptfoo, Giskard, and adversarial ML libraries, and confident designing custom evaluation harnesses against client-specific LLM and agent stacks. Strong scripting and small-tool development in Python, with working knowledge of JavaScript / TypeScript, Bash, and PowerShell. Familiar with the components of modern AI applications: vector databases (Pinecone, Weaviate, pgvector), embedding models, retrieval pipelines, agent frameworks (LangChain, LlamaIndex, CrewAI), and tool-use protocols including MCP. Soft Skills: Excellent written and verbal communication — produces publication-quality reports with no editorial rework, leads CISO and engineering-leader briefings, and de-escalates contested findings with technical rigor. Mentors mid-level engineers and OSOC analysts through code review, paired testing, and methodology coaching. Comfortable representing Evolve Security externally — webinars, podcasts, conference CFPs, and client thought-leadership content. Certifications (Preferred, not required): OSWE, OSCP, OSEP, GWAPT, GXPN, Burp Suite Certified Practitioner; AI/ML-adjacent credentials and contributions such as AI Red Team certifications, published prompt injection research, MITRE ATLAS contributions, or SANS SEC545/SEC595. Expertise that aligns to our approach Lead end-to-end web application and API penetration tests as the senior technical owner, scoping the engagement, executing the assessment, and presenting findings to client security and engineering leadership. Apply structured testing techniques aligned to OWASP WSTG and OWASP API Security Top 10 to assess authentication, session management, access control (vertical and horizontal privilege escalation), input validation, error handling, and business logic flaws. Design and execute AI red team engagements against LLM-backed applications, RAG systems, and agentic workflows — covering prompt injection (direct, indirect, multi-modal), jailbreak resilience, system prompt and tool-use exfiltration, training data and embedding leakage, insecure output handling, and excessive agency in tool-using agents. Map AI findings to the OWASP Top 10 for LLM Applications, OWASP ML Top 10, MITRE ATLAS, and the NIST AI Risk Management Framework so client stakeholders can defend severity and remediation calls internally. Test the full AI application surface: model endpoints, prompt and response pipelines, retrieval augmentation, vector stores, fine-tuning pipelines, plugin / tool integrations (including MCP servers), guardrail and safety layers, and supporting cloud infrastructure. Demonstrate proficiency in manual exploit development for both classical web vulnerabilities (XSS, SQLi, SSRF, IDOR, CSRF, deserialization) and LLM-specific attacks (jailbreak chains, indirect prompt injection via RAG content, agent hijacking via crafted tool outputs). Validate authentication mechanisms — OAuth, OIDC, SAML, MFA implementations, and JWT — and how they extend into AI-specific surfaces such as agent identity, per-user tool scoping, and prompt-level authorization. Assess session management, secrets handling, and data-flow controls in AI applications, including how user data ends up in prompts, logs, vector stores, and model fine-tunes. Execute client-side testing using browser dev tools and proxy-based inspection, evaluating DOM-based vulnerabilities, insecure local storage, and AI-driven client behaviors (e.g., embedded copilots and in-page agents). Test REST and GraphQL APIs using a combination of dynamic, manual, and automated methods; extend the same rigor to model and agent APIs. Perform code-assisted (grey-box) and full source review when available, identifying logic flaws, insecure configurations, and dangerous patterns specific to AI integrations (untrusted-content-into-prompt, unbounded tool use, missing output sanitization). Build, maintain, and contribute to Evolve Security’s AI red team methodology, payload libraries, evaluation harnesses, and reporting templates — and serve as the firm-wide reviewer for AI-related findings. Mentor mid-level penetration testing engineers and OSOC analysts through paired testing, technical review, knowledge-sharing sessions, and contributions to internal training and the academy. Represent Evolve Security externally through conference talks, blog posts, webinars, and client thought-leadership content on application security and AI red teaming. Communicate findings clearly, with strong emphasis on business impact, reproducibility, and strategic remediation guidance that engineering teams can actually ship. Success in the first 6 months looks like: Published, version-controlled AI red team methodology covering LLM applications, RAG systems, and agentic workflows, adopted across Evolve Security engagements. A reusable AI red team toolkit (custom Garak/PyRIT probes, payload libraries, evaluation harnesses) ready for any tester to use on a client engagement. Senior technical ownership of at least one strategic, AI-focused client account. Mentorship cadence in place with mid-level engineers and OSOC analysts; demonstrable uplift in their AI-related findings and reporting quality. At least one piece of public thought leadership (talk, blog, or research) attributed to Evolve Security. Who is Evolve Security? Evolve Security is a cybersecurity services firm headquartered in Chicago, IL. We are dedicated to improving our client’s security posture by providing continuous penetration testing, training services, and talent solutions. In addition to our professional cybersecurity service offerings, Evolve Security offers a cybersecurity bootcamp, “Evolve Academy”, currently ranked the #1 cybersecurity bootcamp in the world. The Cybersecurity Bootcamp in Chicago provides immersive training, giving students the concrete and practical skills, needed on the job. Students gain real work experience through live security assessment work that they perform on not-for-profit companies. We are passionate about directly improving our customers’ security posture, and we proudly train others to help meet the need for qualified cybersecurity talent. Benefits Include Healthcare Benefits 401(k) Match Parental Leave Flexible Paid Time Off Annual vacation reimbursement

Requirements

5–8+ years of offensive security experience
Deep concentration in web application and API penetration testing
Demonstrable hands-on work testing AI/ML systems
Mastery of web application and API security beyond the OWASP Top 10
Fluency in the OWASP Top 10 for LLM Applications and OWASP ML Top 10

Benefits

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

Skills

OWASP ZAP Nmap Postman Burp Suite Pro Nuclei Metasploit BloodHound Garak

Data & AI Governance Configuration Manager

Booking Holdings

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Data governance

AI Policy

Risk Management

+5 more

Job Description

About Booking Holdings India COE At Booking Holdings, we're more than just a leader in travel, we're shaping how people connect, explore, and experience the world. Through our diverse portfolio of brands, including Booking.com, KAYAK, Priceline, Agoda, Rentalcars.com, and OpenTable, we help millions create meaningful experiences, whether booking a getaway or reserving the perfect meal. Our success is built on a culture of inclusion, collaboration, and innovation, where diverse voices are valued, and every idea has the potential to make an impact. At Booking Holdings India COE, we combine data, technology, and creativity to build solutions that simplify global travel, enhance financial services, and create seamless customer experiences. Join us to innovate fearlessly, build connected experiences, and help shape the future of global travel and hospitality. Are you ready to be part of a journey that makes the world more accessible for everyone? About the team: The Data & AI Governance department enables extending the governance theme of policies, standards, processes and technology for governing data and AI to driving excellence in our approach to leveraging secure, trusted, accessible data for data driven decision making through: An overarching Data & AI Policy to include associated standards Data & AI Governance including meta and master data management Data & AI Delivery Governance Data & AI Quality including both technical and business quality measures This enables the maturity of Data and AI capabilities across Booking.com, unlocking data and algorithms as assets for delivering innovative growth opportunities and cost saving operational efficiencies. Role Description: We are looking for a Data & AI Governance Configuration Manager to join our Data & AI Governance organisation, managing a team of individual contributors and contractors on and off shore. The Configuration Manager must have demonstrated experience in leading and motivating a team of analysts and specialists (up to 5-7 people) in addition to demonstrated experience in managing large cross-organizational Data & AI Governance initiatives. Ideal candidates should have a technical background in Data & AI Governance Standards & Frameworks, Data Ownership & Stewardship, Risk Management, Regulatory Change, and Business Operations and various Data Governance tools. They must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means not only being able to develop and drive high-level strategic initiatives, but can also roll up their sleeves, dig in and help drive change. This role is a mix of leadership (leading a small team of specialists and analysts) individual contributors, and it demands skills as an evangelist and a partner - at a time where transformation and modernisation of our data ecosystem is a company-wide priority. Key Job Responsibilities and Duties: People Management: Manage a team of Data and AI Governance operations specialists and potentially contractors including ensuring people’s performance and wellbeing is balanced Help set up quarterly and yearly objectives, estimate work, manage team and personal performance reviews Mentor and coach team members Improve team routines and processes for better performance based on the state of the team. Ensure the team follows the best practices to learn and adopt new methodologies Manage hiring and compensation Help the team to communicate externally and internally, resolve conflicts Data and AI Governance: Data Stewardship: Manage the ease of use and access for Data Ownership and Stewardship roles and responsibilities across tools, supporting clear accountability and proper onboarding of data stewards with intuitive user journeys. Data & AI Governance Principles: Apply and enforce Data & AI Governance principles, processes, policies, and standards to ensure consistent and effective governance practices. Regulatory Compliance: Ensure adherence to Data & AI regulatory policies, such as GDPR, DMA, SOx, and the EU AI Act, by staying updated on compliance requirements and integrating them into governance frameworks and implementation practices. Data & AI Governance Practices: Drive the adoption of Data & AI Governance capabilities including Data & AI Literacy, data cataloging, data profiling, metadata management, data classification, data lineage, master data management, and workflows, ensuring robust governance of critical data elements. Work with the broader Data & AI Governance team to ensure the continuous roll out of improvements and evolution of compliance controls to ensure the continual maturity of Data & AI Practice at Booking. Configuration Management: Metadata Management: be responsible for working with Data & AI Governance SMEs, Architecture, Product and Engineering teams to ensure appropriate metadata configuration and management including continuous improvement opportunities. E2E Delivery & Impact: Contribute to high-complexity Data & AI governance agile delivery and high-impact initiatives independently - leading metadata design execution, testing and reporting, and final handover to business-as-usual operations. Stakeholder Management: Act as an authoritative point of contact for metadata management inquiries. You must navigate a complex stakeholder landscape, effectively engaging with cross-functional working groups and presenting strategic updates to leadership up to the VP level. Risk Management: Identify, assess, track and mitigate issues and risks at multiple levels Operational Excellence: Expertly leverage the Atlassian suite (Jira/Confluence) to architect delivery workflows, track configuration changes, and maintain transparent documentation. You will ensure the team’s output is measurable, visible, and aligned with departmental velocity goals. Change Leadership: Champion the department’s change management protocols. You will guide your team through technical transitions and organizational shifts, ensuring that new governance processes are adopted smoothly without disrupting the broader data community. Role Qualifications and Requirements: Experience Requirements: 5-8 years of relevant technical experience, with 3+ years focused around Data Governance (or 5+ years in a broader Data/Analytical role)): SQL Proficiency: Strong ability to query relational databases to validate metadata or troubleshoot integration issues. SDLC for Governance: Applying "Data Governance as Code" principles—using Git for version control of configuration scripts and managing Test, Staging, and Production environments. At least 1-2 years of experience in metadata management and 1-2 years managing data teams, including building and growing the team: Operating Model Configuration: Proficiency in defining and configuring Asset Types, Domains, Communities, and complex relationship mapping. Workflow Engineering: Ability to design and deploy automated governance workflows (e.g., using BPMN 2.0, Java, or Groovy) for approvals, issue management, and asset onboarding. Metamodel Design: Skill in creating logical structures that represent the organization’s data landscape (Business Glossaries, Data Catalogs, and AI Model Registries). AI Model Metadata Tracking: Understanding how to capture AI-specific attributes like model versions, training datasets, "fairness" metrics, and accuracy scores. Data Governance certification (e.g DAMA, DGI, etc.) or equivalent certification is a plus, though not a requirement Self-driven learner, capable of proactively connect with many other teams to understand the intersection of regulation and data & AI governance capabilities Excellent communication (written and spoken) and stakeholder management skills, with the ability to build strong working relationships with both technical and non-technical stakeholders. BookingHoldings India COE is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive. Pre-Employment Screening If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Requirements

Manage a team of Data and AI Governance specialists and analysts
Develop and drive high-level strategic initiatives
Roll up sleeves and help drive change
Lead a small team of specialists and analysts
Drive transformation and modernisation of data ecosystem
Partner with stakeholders to implement data governance initiatives
Ensure data governance policies and procedures are up-to-date and compliant
Collaborate with cross-functional teams to drive business outcomes

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Coworking Space
Dental Insurance
Disability Insurance
Employee Assistance Program

Skills

Data governance AI Policy Risk Management Enablement & Training Data Ownership & Stewardship Regulatory Change Business Operations Data Governance tools

Medical Director, AI Safety & Clinical Solutions

Avo

Full Time

$150k - $200k

2 days ago

Worldwide

Mid

Python

Clinical AI

+5 more

Job Description

About Avo Avo is the clinical AI platform used by healthcare enterprises to infuse trusted knowledge into clinical copilots — from AI-powered charting and decision support to an intelligent clinical assistant — all integrated directly into the EHR. Our platform helps clinicians deliver higher-quality care without the documentation burden. About the Role You'll sit at the intersection of clinical AI safety and customer-facing solutions work. On one side, you'll own the validation, testing, and safety assurance of our AI-generated clinical content. On the other, you'll work directly with prospective and existing customers as a clinical subject matter expert — supporting sales conversations and demos. This is a hybrid clinical-technical role for someone who wants to shape how AI is safely deployed in real clinical workflows. What You'll Do Design and execute AI safety testing protocols for clinical AI modules (hallucination detection, omission analysis, clinical accuracy validation) Review and validate AI-generated clinical content against evidence-based guidelines Partner with the Sales team as a clinical SME during demos, prospect calls, and pilot evaluations Engage with clients and prospects, as a Physician Leader, to help frame the value message of Avo and our solutions. This will encompass having strong communication skills to act as a ‘challenger’ to legacy people/process/technology solutions in place. Translate complex clinical AI capabilities into language that resonates with CMIOs, CIOs, and clinical leadership Collaborate with the Studio team to improve module quality based on safety findings and customer feedback Contribute to clinical documentation, white papers, and safety reports that build buyer confidence What We're Looking For Active clinical license — MD/DO, NP, or PA with hands-on patient care experience Mid-career — 3-7 years of clinical practice, enough to speak credibly to practicing clinicians AI/health IT curiosity — experience with or strong interest in clinical AI, CDS, or health informatics Communication skills — comfortable presenting and doing product demonstrations to C-suite clinical leaders and translating technical concepts Quality mindset — detail-oriented approach to testing, validation, and clinical accuracy Comfort with ambiguity — this is a hybrid role at a growth-stage company; you'll shape it as you go Nice to Have Experience with EHR systems (Epic, Meditech, Athena) Background in clinical informatics, quality improvement, or patient safety Prior experience in a sales engineering, solutions, or customer-facing clinical role Familiarity with AI/LLM evaluation methodologies Details Location: Hybrid Reports to: CMIO, dotted line to Chief Commercial Officer Salary: $150,000 - $200,000, commensurate with experience Travel: Some travel expected for customer meetings and demos, up to 25%

Requirements

Active clinical license — MD/DO, NP, or PA with hands-on patient care experience
Mid-career — 3-7 years of clinical practice, enough to speak credibly to practicing clinicians
AI/health IT curiosity — experience with or strong interest in clinical AI, CDS, or health informatics
Communication skills — comfortable presenting and doing product demonstrations to C-suite clinical leaders and translating technical concepts
Quality mindset — detail-oriented approach to testing, validation, and clinical accuracy
Comfort with ambiguity — this is a hybrid role at a growth-stage company; you'll shape it as you go

Benefits

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

Skills

AI Python Clinical AI EHR systems Epic Meditech Athena Clinical informatics

Senior Manager Data & AI Governance

AFCA

Full Time

$120,000 - $180,000*

3 days ago

Australia

Worldwide

Senior

Data governance

AI Ethics

Regulatory Compliance

+3 more

Job Description

Company Description Fairness feels good Make a real impact at AFCA. Where fairness drives every decision. Help us deliver world-class, independent complaints resolution for Australians. As a not-for-profit and progressive financial ombudsman, we’re championing positive change. Achieving our purpose takes progressive thinking, accountability and resilience. At AFCA, our inclusive leadership values every voice. We offer our people flexible work options, thoughtful benefits and opportunities to deepen expertise. Flourish in a diverse, caring culture. Feel the difference of belonging to an organisation intentionally designed to put people first. Job Description As we expand our use of data and artificial intelligence, we’re committed to doing it safely, ethically and thoughtfully, always with fairness at the centre. In this newly created position, The Senior Manager - Data & AI Governance, will lead AFCA’s approach to responsible data and AI adoption. This role owns the end‑to‑end Data & AI governance lifecycle, from frameworks and policy design through to evaluation, assurance and ongoing oversight, ensuring data and AI initiatives deliver value while managing risk. Reporting to the Head of Data & Analytics, you’ll partner closely with leaders across the organisation to embed strong governance practices that support innovation while protecting our people, customers and community. What you’ll do Own and maintain AFCA’s Data and AI governance frameworks, aligned to regulatory developments, Australia’s AI Ethics Principles and organisational needs Lead data quality standards and practices, ensuring data is fit for purpose for operational use and AI applications Support the evaluation and assessment of AI tools, including testing for accuracy, bias, reliability and fitness for purpose Integrate data and AI governance with privacy, information management and information security frameworks, from approval through to implementation Drive cross‑functional governance forums, coordinating assessments and preparing clear recommendations for decision‑making bodies Maintain enterprise inventories of approved data and AI tools and key data assets, leading periodic suitability and compliance reviews Monitor external developments in AI regulation, ethics and assurance, advising leaders on implications and required actions Lead, coach and develop the Manager, Data Governance and Information Management and their team, ensuring alignment across governance activities Qualifications To be successful in this role, you will need: Extensive experience in governance, risk, compliance or technology roles, with a focus on AI governance, data governance or AI assurance. Demonstrated experience designing and implementing governance frameworks for AI or emerging technology in a regulated or compliance-sensitive environment. Experience leading or participating in cross-functional working groups or governance committees. Experience in financial services, digital‑first organisations or highly regulated environments highly regarded. Strong hands‑on delivery leadership, with the ability to move between strategic oversight and execution. Excellent stakeholder management skills, with the ability to influence senior leaders and complex stakeholder groups. Strong commercial, risk and dependency management capability. Clear communicator able to simplify complexity and build trust across business and technology domains. Growth mindset with a practical, outcome‑focused approach. Resilient, adaptable and calm in high‑change environments. Additional Information Silver AWEI Accreditation 2025 – Recognised for LGBTQ+ workplace inclusion. Accredited Family Friendly Workplace – Supporting work-life balance and inclusivity. Hybrid working – Flexible arrangements with two days a week in our modern offices designed for collaboration and wellbeing. Additional and inclusive leave options – Flexible public holidays, gender affirmation leave, women’s health leave, and bonus paid time off over the end of year holiday period. To apply If you’re passionate about fairness and believe your skills align with this role, we encourage you to apply even if you don’t meet every single criterion. We welcome applications from people of all backgrounds, cultures, abilities, sexual orientations, and gender identities. If you require any accessibility support during the recruitment process, please reach out to our team at [email protected]. We believe fairness starts with people. That’s why we don’t use AI or automated tools to screen candidates. As a result, our processes may take a little longer, and we thank you for your patience. About AFCA The Australian Financial Complaints Authority (AFCA) was established in 2018 as a private not-for-profit ombudsman service providing free, fair and independent help with financial disputes. The original team has grown to over 1600 dedicated professionals. Since 2018, AFCA has received more than 634,000 complaints, helping to secure $2.1 billion in compensation for consumers. AFCA is a 2026 Circle Back Initiative Employer - we are committed to responding to every applicant.

Requirements

Extensive experience in governance, risk, compliance or technology roles
Demonstrated experience designing and implementing governance frameworks for AI or emerging technology
Experience leading or participating in cross-functional working groups or governance committees
Experience in financial services, digital-first organisation
Strong understanding of AI ethics and regulatory compliance

Benefits

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

Skills

Data governance AI Ethics Regulatory Compliance Data Quality Data Management AI tools

Senior Manager Data & AI Governance

AFCA

Full Time

$120,000 - $180,000*

3 days ago

Australia

Worldwide

Senior

Data governance

AI Ethics

Regulatory Compliance

+3 more

Job Description

Requirements

Extensive experience in governance, risk, compliance or technology roles
Demonstrated experience designing and implementing governance frameworks for AI or emerging technology
Experience leading or participating in cross-functional working groups or governance committees
Experience in financial services, digital-first organisation
Strong understanding of AI ethics and regulatory compliance

Benefits

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

Skills

Data governance AI Ethics Regulatory Compliance Data Quality AI tools Data Management

Model Risk Analyst

Full Time

$85k - $95k

3 days ago

United States

Senior

Model Risk Management

Quantitative Risk Management

Financial Modeling

+4 more

Job Description

Description At Sunflower Bank, N.A., we’re experiencing great growth. Since our founding in 1892, we've been committed to serving our communities and supporting the team members who make it all possible. As a full-service financial institution, we offer a full range of relationship-focused services to meet personal, business, and wealth-management financial objectives. Creating Possibility is not just our mission, it’s what we do every day for clients and associates. Learn more about Sunflower Bank, N.A. at sunflowerbank.com. Sunflower Bank, N.A. is looking for an energetic, highly motivated individual to fill the position of a full-time Model Risk Analyst at our Denver, CO location. The salary range for this position is $85,000 to $95,000 depending on knowledge, skills, abilities, experience, and location. Hybrid options available. Description: Sunflower Bank is seeking a Model Risk Analyst to join its Enterprise Risk Management Department. The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program, focusing on the annual assessment process, maintaining the model inventory, assisting in planning model validation, independent validation, and ongoing monitoring of quantitative models. This role ensures that models—used for credit risk, liquidity risk, market risk, capital planning, and BSA/AML—are conceptually sound, documented according to policy, and compliant with regulatory standards (e.g., SR 26-2). Primary Responsibilities Maintain the model inventory, ensuring it is up-to-date by confirming assigned models have correct attributes (status, owner, risk tier, review dates, etc.). Assist in model identification, classification, and risk rating. Monitor the end-to-end issues management lifecycle of findings resulting from model validations, including tracking remediation progress and verifying closure documentation. Ensure key details (assumptions, inputs, purpose, limitations) are clearly recorded in model documentation. Perform hands-on validation of new and existing models, challenging conceptual soundness, assumptions, inputs, and performance metrics. Conduct annual reviews and write annual review reports. Act as a key point of contact with model developers and owners to discuss validation findings and provide "effective challenge". Support requests received from third parties and Internal Audit related to model risk. Perform the job in accordance with applicable industry laws and regulations as well as the policies and procedures established by the company. Responsible for upholding Fair and Responsible Banking practices and Code of Ethics and Conduct guidelines. Perform other duties as assigned. Education / Experience Bachelor’s degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field; master’s preferred. A minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines. Familiarity with Excel, SQL, Python, R, SAS, or other relevant languages for data analysis and code replication. Advanced Excel skills, conditional formatting, and/or data analysis tools, and familiarity with data visualization tools. Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Pay is dependent on knowledge, skills, abilities, experience, and location. Working Conditions The physical demands of this position require the ability to perform essential job functions with or without reasonable accommodation. Employees may spend extended periods sitting or standing, using hands to operate computers or other equipment, and reaching for work-related tasks. Regular walking may be required, along with occasional bending, stooping, kneeling, or climbing. The role may involve lifting or moving items weighing up to 10 pounds. Vision requirements include close and distance vision, color and peripheral vision, depth perception, and the ability to adjust focus. Sunflower Bank Benefits People choose to “bank” with us, but for those we serve, we’re more than a bank. We strive to be the financial backbone of their lives, and we know that starts with our team. Our supportive culture empowers team members to grow and seize new opportunities. Like our namesake, the sunflower, we are: Rooted in Strength Propelled by Growth Individuals in a Great Whole Creating Possibility Community Focused Associates enjoy outstanding benefits, including: 401(k) Plan with 6% Match Health/Dental/Vision Insurance Company-paid Life Insurance Tuition Reimbursement Fitness Reimbursement Paid Time Off Volunteer Leave Paid Holidays Plus many more associate perks & incentives! If you qualify, apply online at www.sunflowerbank.com/careers. You’ve never worked anyplace like Sunflower Bank! EOE/AA: Minorities/Females/Disabled/Vets Sunflower Bank, N.A. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with a disability, sexual orientation, gender identity, or any other characteristic protected by law. Open until filled; early application encouraged. This vacancy announcement may be used to fill similar positions within 90 days. If you are a California resident, you may be entitled to certain rights regarding your personal information, which is information that identifies, relates to, or could reasonably be linked with a particular California resident or household. Additional information about our data collection practices and location-specific notices is available on our privacy policy.

Requirements

Bachelor’s degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field
Minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines
Strong understanding of model risk management principles and practices
Ability to analyze complex data and identify trends and patterns
Excellent communication and interpersonal skills
Ability to work independently and as part of a team
Strong analytical and problem-solving skills
Ability to maintain confidentiality and handle sensitive information

Benefits

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

Skills

Model Risk Management Quantitative Risk Management Financial Modeling Risk Analysis Model Validation Model Development Model Inventory Management

Model Risk Analyst

Full Time

$85k - $95k

3 days ago

United States

Senior

Model Risk Management

Quantitative Risk Management

Financial Modeling

+5 more

Job Description

Description At Sunflower Bank, N.A., we’re experiencing great growth. Since our founding in 1892, we've been committed to serving our communities and supporting the team members who make it all possible. As a full-service financial institution, we offer a full range of relationship-focused services to meet personal, business, and wealth-management financial objectives. Creating Possibility is not just our mission, it’s what we do every day for clients and associates. Learn more about Sunflower Bank, N.A. at sunflowerbank.com. Sunflower Bank, N.A. is looking for an energetic, highly motivated individual to fill the position of a full-time Model Risk Analyst at our Irvine, CA location. The salary range for this position is $85,000 to $95,000 depending on knowledge, skills, abilities, experience, and location. Hybrid options available. Description: Sunflower Bank is seeking a Model Risk Analyst to join its Enterprise Risk Management Department. The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program, focusing on the annual assessment process, maintaining the model inventory, assisting in planning model validation, independent validation, and ongoing monitoring of quantitative models. This role ensures that models—used for credit risk, liquidity risk, market risk, capital planning, and BSA/AML—are conceptually sound, documented according to policy, and compliant with regulatory standards (e.g., SR 26-2). Primary Responsibilities Maintain the model inventory, ensuring it is up-to-date by confirming assigned models have correct attributes (status, owner, risk tier, review dates, etc.). Assist in model identification, classification, and risk rating. Monitor the end-to-end issues management lifecycle of findings resulting from model validations, including tracking remediation progress and verifying closure documentation. Ensure key details (assumptions, inputs, purpose, limitations) are clearly recorded in model documentation. Perform hands-on validation of new and existing models, challenging conceptual soundness, assumptions, inputs, and performance metrics. Conduct annual reviews and write annual review reports. Act as a key point of contact with model developers and owners to discuss validation findings and provide "effective challenge". Support requests received from third parties and Internal Audit related to model risk. Perform the job in accordance with applicable industry laws and regulations as well as the policies and procedures established by the company. Responsible for upholding Fair and Responsible Banking practices and Code of Ethics and Conduct guidelines. Perform other duties as assigned. Education / Experience Bachelor’s degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field; master’s preferred. A minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines. Familiarity with Excel, SQL, Python, R, SAS, or other relevant languages for data analysis and code replication. Advanced Excel skills, conditional formatting, and/or data analysis tools, and familiarity with data visualization tools. Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Pay is dependent on knowledge, skills, abilities, experience, and location. Working Conditions The physical demands of this position require the ability to perform essential job functions with or without reasonable accommodation. Employees may spend extended periods sitting or standing, using hands to operate computers or other equipment, and reaching for work-related tasks. Regular walking may be required, along with occasional bending, stooping, kneeling, or climbing. The role may involve lifting or moving items weighing up to 10 pounds. Vision requirements include close and distance vision, color and peripheral vision, depth perception, and the ability to adjust focus. Sunflower Bank Benefits People choose to “bank” with us, but for those we serve, we’re more than a bank. We strive to be the financial backbone of their lives, and we know that starts with our team. Our supportive culture empowers team members to grow and seize new opportunities. Like our namesake, the sunflower, we are: Rooted in Strength Propelled by Growth Individuals in a Great Whole Creating Possibility Community Focused Associates enjoy outstanding benefits, including: 401(k) Plan with 6% Match Health/Dental/Vision Insurance Company-paid Life Insurance Tuition Reimbursement Fitness Reimbursement Paid Time Off Volunteer Leave Paid Holidays Plus many more associate perks & incentives! If you qualify, apply online at www.sunflowerbank.com/careers. You’ve never worked anyplace like Sunflower Bank! EOE/AA: Minorities/Females/Disabled/Vets Sunflower Bank, N.A. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with a disability, sexual orientation, gender identity, or any other characteristic protected by law. Open until filled; early application encouraged. This vacancy announcement may be used to fill similar positions within 90 days. If you are a California resident, you may be entitled to certain rights regarding your personal information, which is information that identifies, relates to, or could reasonably be linked with a particular California resident or household. Additional information about our data collection practices and location-specific notices is available on our privacy policy.

Requirements

Bachelor’s degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field
Minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines
Hands-on validation of new and existing models, challenging conceptual soundness, assumptions, inputs, and performance metrics
Maintain the model inventory, ensuring it is up-to-date by confirming assigned models have correct attributes (status, owner, risk tier, review dates, etc.)
Assist in model identification, classification, and risk rating
Monitor the end-to-end issues management lifecycle of findings resulting from model validations, including tracking remediation progress and verifying closure documentation

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Professional Development
Retirement Plan
Training Budget

Skills

Model Risk Management Quantitative Risk Management Financial Modeling Risk Analysis Model Validation Model Development Python Excel

Model Risk Analyst

Full Time

$80,000 - $140,000*

3 days ago

United States

AI Risk & Controls

Mid

Excel

SQL

Python

+1 more

Job Description

Description At Sunflower Bank, N.A., we’re experiencing great growth. Since our founding in 1892, we've been committed to serving our communities and supporting the team members who make it all possible. As a full-service financial institution, we offer a full range of relationship-focused services to meet personal, business, and wealth-management financial objectives. Creating Possibility is not just our mission, it’s what we do every day for clients and associates. Learn more about Sunflower Bank, N.A. at sunflowerbank.com. Sunflower Bank, N.A. is looking for an energetic, highly motivated individual to fill the position of a full-time Model Risk Analyst at our Dallas, TX location. Hybrid options available. Description: Sunflower Bank is seeking a Model Risk Analyst to join its Enterprise Risk Management Department. The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program, focusing on the annual assessment process, maintaining the model inventory, assisting in planning model validation, independent validation, and ongoing monitoring of quantitative models. This role ensures that models—used for credit risk, liquidity risk, market risk, capital planning, and BSA/AML—are conceptually sound, documented according to policy, and compliant with regulatory standards (e.g., SR 26-2). Primary Responsibilities Maintain the model inventory, ensuring it is up-to-date by confirming assigned models have correct attributes (status, owner, risk tier, review dates, etc.). Assist in model identification, classification, and risk rating. Monitor the end-to-end issues management lifecycle of findings resulting from model validations, including tracking remediation progress and verifying closure documentation. Ensure key details (assumptions, inputs, purpose, limitations) are clearly recorded in model documentation. Perform hands-on validation of new and existing models, challenging conceptual soundness, assumptions, inputs, and performance metrics. Conduct annual reviews and write annual review reports. Act as a key point of contact with model developers and owners to discuss validation findings and provide "effective challenge". Support requests received from third parties and Internal Audit related to model risk. Perform the job in accordance with applicable industry laws and regulations as well as the policies and procedures established by the company. Responsible for upholding Fair and Responsible Banking practices and Code of Ethics and Conduct guidelines. Perform other duties as assigned. Education / Experience Bachelor’s degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field; master’s preferred. A minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines. Familiarity with Excel, SQL, Python, R, SAS, or other relevant languages for data analysis and code replication. Advanced Excel skills, conditional formatting, and/or data analysis tools, and familiarity with data visualization tools. Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Pay is dependent on knowledge, skills, abilities, experience, and location. Working Conditions The physical demands of this position require the ability to perform essential job functions with or without reasonable accommodation. Employees may spend extended periods sitting or standing, using hands to operate computers or other equipment, and reaching for work-related tasks. Regular walking may be required, along with occasional bending, stooping, kneeling, or climbing. The role may involve lifting or moving items weighing up to 10 pounds. Vision requirements include close and distance vision, color and peripheral vision, depth perception, and the ability to adjust focus. Sunflower Bank Benefits People choose to “bank” with us, but for those we serve, we’re more than a bank. We strive to be the financial backbone of their lives, and we know that starts with our team. Our supportive culture empowers team members to grow and seize new opportunities. Like our namesake, the sunflower, we are: Rooted in Strength Propelled by Growth Individuals in a Great Whole Creating Possibility Community Focused Associates enjoy outstanding benefits, including: 401(k) Plan with 6% Match Health/Dental/Vision Insurance Company-paid Life Insurance Tuition Reimbursement Fitness Reimbursement Paid Time Off Volunteer Leave Paid Holidays Plus many more associate perks & incentives! If you qualify, apply online at www.sunflowerbank.com/careers. You’ve never worked anyplace like Sunflower Bank! EOE/AA: Minorities/Females/Disabled/Vets Sunflower Bank, N.A. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with a disability, sexual orientation, gender identity, or any other characteristic protected by law. Open until filled; early application encouraged. This vacancy announcement may be used to fill similar positions within 90 days. If you are a California resident, you may be entitled to certain rights regarding your personal information, which is information that identifies, relates to, or could reasonably be linked with a particular California resident or household. Additional information about our data collection practices and location-specific notices is available on our privacy policy.

Requirements

Bachelor’s degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field
Minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines
Familiarity with Excel, SQL, Python, R, SAS, or other relevant languages for data analysis and code replication
Ability to perform hands-on validation of new and existing models
Ability to conduct annual reviews and write annual review reports

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work

Skills

Excel SQL Python SAS

Model Risk Analyst

Full Time

$80,000 - $120,000*

3 days ago

United States

AI Audit / Assurance / Controls Testing

Mid

Excel

SQL

Python

+1 more

Job Description

Description At Sunflower Bank, N.A., we’re experiencing great growth. Since our founding in 1892, we've been committed to serving our communities and supporting the team members who make it all possible. As a full-service financial institution, we offer a full range of relationship-focused services to meet personal, business, and wealth-management financial objectives. Creating Possibility is not just our mission, it’s what we do every day for clients and associates. Learn more about Sunflower Bank, N.A. at sunflowerbank.com. Sunflower Bank, N.A. is looking for an energetic, highly motivated individual to fill the position of a full-time Model Risk Analyst at our Overland Park, KS location. Hybrid options available. Description: Sunflower Bank is seeking a Model Risk Analyst to join its Enterprise Risk Management Department. The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program, focusing on the annual assessment process, maintaining the model inventory, assisting in planning model validation, independent validation, and ongoing monitoring of quantitative models. This role ensures that models—used for credit risk, liquidity risk, market risk, capital planning, and BSA/AML—are conceptually sound, documented according to policy, and compliant with regulatory standards (e.g., SR 26-2). Primary Responsibilities Maintain the model inventory, ensuring it is up-to-date by confirming assigned models have correct attributes (status, owner, risk tier, review dates, etc.). Assist in model identification, classification, and risk rating. Monitor the end-to-end issues management lifecycle of findings resulting from model validations, including tracking remediation progress and verifying closure documentation. Ensure key details (assumptions, inputs, purpose, limitations) are clearly recorded in model documentation. Perform hands-on validation of new and existing models, challenging conceptual soundness, assumptions, inputs, and performance metrics. Conduct annual reviews and write annual review reports. Act as a key point of contact with model developers and owners to discuss validation findings and provide "effective challenge". Support requests received from third parties and Internal Audit related to model risk. Perform the job in accordance with applicable industry laws and regulations as well as the policies and procedures established by the company. Responsible for upholding Fair and Responsible Banking practices and Code of Ethics and Conduct guidelines. Perform other duties as assigned. Education / Experience Bachelor’s degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field; master’s preferred. A minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines. Familiarity with Excel, SQL, Python, R, SAS, or other relevant languages for data analysis and code replication. Advanced Excel skills, conditional formatting, and/or data analysis tools, and familiarity with data visualization tools. Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Pay is dependent on knowledge, skills, abilities, experience, and location. Working Conditions The physical demands of this position require the ability to perform essential job functions with or without reasonable accommodation. Employees may spend extended periods sitting or standing, using hands to operate computers or other equipment, and reaching for work-related tasks. Regular walking may be required, along with occasional bending, stooping, kneeling, or climbing. The role may involve lifting or moving items weighing up to 10 pounds. Vision requirements include close and distance vision, color and peripheral vision, depth perception, and the ability to adjust focus. Sunflower Bank Benefits People choose to “bank” with us, but for those we serve, we’re more than a bank. We strive to be the financial backbone of their lives, and we know that starts with our team. Our supportive culture empowers team members to grow and seize new opportunities. Like our namesake, the sunflower, we are: Rooted in Strength Propelled by Growth Individuals in a Great Whole Creating Possibility Community Focused Associates enjoy outstanding benefits, including: 401(k) Plan with 6% Match Health/Dental/Vision Insurance Company-paid Life Insurance Tuition Reimbursement Fitness Reimbursement Paid Time Off Volunteer Leave Paid Holidays Plus many more associate perks & incentives! If you qualify, apply online at www.sunflowerbank.com/careers. You’ve never worked anyplace like Sunflower Bank! EOE/AA: Minorities/Females/Disabled/Vets Sunflower Bank, N.A. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with a disability, sexual orientation, gender identity, or any other characteristic protected by law. Open until filled; early application encouraged. This vacancy announcement may be used to fill similar positions within 90 days. If you are a California resident, you may be entitled to certain rights regarding your personal information, which is information that identifies, relates to, or could reasonably be linked with a particular California resident or household. Additional information about our data collection practices and location-specific notices is available on our privacy policy.

Requirements

Bachelor’s degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field
Minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines
Familiarity with Excel, SQL, Python, R, SAS, or other relevant languages for data analysis and code replica
Ability to perform hands-on validation of new and existing models
Ability to conduct annual reviews and write annual review reports

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work

Skills

Excel SQL Python SAS

Sr. Manager, AI Audit & Automation

Fanatics Inc.

Full Time

$129k - $175k

3 days ago

Worldwide

Senior

API

Automation

Python

+3 more

Job Description

About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. The Role This role engineers the AI-enabled future of Internal Audit. The Sr. Manager, AI Audit & Automation designs, builds, and deploys production-grade AI and automation solutions that transform how audit work is planned, executed, and evidenced. The role combines hands-on AI engineering with deep integration into audit workflows, governance standards, and regulatory requirements. This is a building role. This role is measured by what is created, what is adopted, and what is auditable not by hours logged or meetings attended. The successful candidate builds working systems, trains audit teams on the tools being built, and continuously improves the production environment based on real engagement feedback. Results are measured in deployed tools, adopted workflows, and documented audit efficiency gains. The position reports to the Director, Technology Assurance, and partners closely with IT, Information Security, and the CAE to deliver audit-specific AI capabilities at enterprise scale. What You'll Do Partner with audit teams to define high-impact AI use cases, translating audit objectives into scalable technical solutions owing design and deployment end to end. Lead the build and rollout of AI-powered applications and automation frameworks across audit workflows, ensuring alignment with enterprise AI governance and applicable regulatory requirements. Own end-to-end technical delivery of the SOX ITGC Self-Assess Agents and similar AI workflows from prototype through development, UAT, and production environments in partnership with IT. Manage Claude API and enterprise LLM integrations — prompt engineering, structured output design, error handling, and performance optimization. Build and maintain data pipelines connecting audit systems to AI workflows, including Active Directory, access management platforms, ERP data, and audit management tools. Design and execute full population audit testing using Alteryx, Python, or SQL — replacing sample-based testing where data access permits. Develop continuous monitoring scripts that flag control exceptions in real time rather than at periodic testing intervals. Establish performance metrics and continuously optimize deployed solutions to produce measurable, auditable improvements in audit efficiency and control evaluation quality. Produce and maintain comprehensive technical documentation: model artifacts, system architecture diagrams, validation protocols, and data lineage records that satisfy both internal audit standards and external scrutiny. Drive adoption within Internal Audit by designing user-centric implementations, translating technical concepts for non-technical audiences, and delivering hands-on training to ensure durable workflow integration. Evaluate emerging AI, machine learning, and LLM technologies on an ongoing basis to assess applicability and scalability within Internal Audit environments. Serve as the technical lead for audit management system integration, overseeing scalable connectivity of AI tools, workflow automation, and enterprise platforms. What We're Looking For 4+ years in data science, AI/ML, analytics, or software engineering. Hands-on production deployment of AI/ML solutions. Demonstrated experience building or managing AI agents and automation frameworks. Enterprise LLM tool experience — Claude, ChatGPT, Perplexity, or equivalent — including prompt engineering and structured output design. CI/CD, containerization, or MLOps implementation in an enterprise environment. Cloud platform experience in AWS, Azure, or GCP. Experience with large-scale data platforms such as Snowflake. Python and SQL proficiency. Functional HTML, CSS, and JavaScript for frontend development and dashboarding. REST API integration — consuming and orchestrating external APIs. Git — version control, branching, pull requests, and code review. Working knowledge of model governance, validation, and responsible AI practices. Understanding of AI ethics principles and applicable data privacy regulations (GDPR, CCPA, and equivalent). Ability to translate complex technical concepts into audit-relevant findings and stakeholder communications. Audit and domain knowledge Working knowledge of SOX IT General Controls Understanding of evidence sufficiency standards and workpaper documentation requirements. Familiarity with PCAOB AS 2605 or equivalent assurance standards. Experience deploying automation or analytics tools within an audit, risk, or compliance function. Ability to translate audit requirements into technical specifications independently. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related field is required. Advanced degree (MS or PhD) in Machine Learning, Statistics, or Computer Science is a plus. Preferred Experience Internal Audit, Risk, Compliance, or Financial Services experience. Familiarity with audit management systems or GRC platforms. Experience integrating AI tools with enterprise systems and platforms. Big 4 or advisory firm experience in audit technology practice. Digital commerce, e-commerce, or sports and entertainment industry background. Experience in a PE-backed or high-growth technology company environment. Preferred Credentials CISA, AAIA, CRISC, CISSP AWS, Azure, or GCP Machine Learning Specialty, or data science certifications. What We Offer Direct ownership of a high-visibility AI program with executive sponsorship and an existing foundation of production tools to build upon. Partnership with an engaged Director who has built the technical architecture and is looking for a builder, not a dependent. Collaboration with the CAE, VP Internal Audit, Sr. Director Organizational Change Management, CISOs, CTOs, CDOs, IT, Information Security, and business stakeholders across Fanatics. Competitive base salary, performance bonus, and benefits. The opportunity to shape how Internal Audit is delivered at one of the most recognized brands in sports and digital commerce. The salary range represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $129,000—$175,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.

Requirements

Design, build, and deploy production-grade AI and automation solutions
Partner with audit teams to define high-impact AI use cases
Lead the build and rollout of AI-powered applications and automation frameworks
Manage Claude API and enterprise LLM integrations
Build and maintain data pipelines connecting audit systems to AI workflows
Own end-to-end technical delivery of the SOX ITGC Self-Assess Agents and similar AI workflows

Benefits

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

Skills

API Automation Python Claude API Enterprise LLM SOX ITGC Self-Assess Agents

Sr. Manager, AI Audit & Automation

Fanatics Inc.

Full Time

$129k - $175k

3 days ago

Worldwide

AI Audit / Assurance / Controls Testing

Senior

API

Automation

Python

+3 more

Job Description

Requirements

Design, build, and deploy production-grade AI and automation solutions
Partner with audit teams to define high-impact AI use cases
Lead the build and rollout of AI-powered applications and automation frameworks
Manage Claude API and enterprise LLM integrations
Build and maintain data pipelines connecting audit systems to AI workflows
Own end-to-end technical delivery of the SOX ITGC Self-Assess Agents and similar AI workflows

Benefits

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

Skills

API Automation Python Claude API Enterprise LLM SOX ITGC Self-Assess Agents

Risk Management – Model Risk Program Management – Vice President

Full Time

$119.7k - $191.1k

3 days ago

Worldwide

Senior

Risk Management

Model Risk

Governance

+5 more

Job Description

Join JPMorgan Chase and play a pivotal role in Risk Management and Compliance, ensuring the firm's strength and resilience. Use your expertise to anticipate risks and solve challenges that affect our company and communities. Our culture encourages innovative thinking and challenges the status quo. As a Model Risk Management – Program Management – Vice President, you'll support the management of model risk, governance activities are conducted to identify, measure, and mitigate model risk in the firm. Additionally, you will play a key role in regulatory, audit, and critical capital stress testing exercises such as CCAR. Your responsibilities will also include coordinating with the MRGR policy and MRGR product/technology teams to enhance model risk policy, procedures, and product/technology. Job responsibilities * Support model risk coverage activities for the respective MRGR Lines of Business, for example: prepare material for key Risk Committees and Forums, and model risk Business Review Meetings; lead model review and issue remediation planning and help Model Risk Officers with prioritization. * Monitor and report model risk metrics, and facilitate escalation when breaches occur * Centrally manage programs owned by MRGR to ensure the model risk framework’s smooth and effective execution, including processes like inventory confirmations, CCAR etc. * Engage with senior leaders, development and model review teams on model risk activities impacting their area including on Regulatory and Audit deliverables. * Identify process execution pain points and work with the other COO teams: Product, Policy and Analytics to come up with solutions and put tactical or strategic enhancements in place. Required qualifications, capabilities, and skills * Proven project/program management capabilities * Solid understanding of risk management frameworks and the Three Lines of Defense model in large organizations. Experience working closely with model risk and/or model development functions and experience in Model Risk Management * Strong stakeholder management and teamwork skills, with clear communication and effective relationship building * Ability to synthetize data and build commentary to share with a senior audience as needed. * Self-motivation, outstanding organizational skills and ability to work independently in a fast-paced environment. * Intellectual curiosity with a proven ability to learn quickly. Preferred qualifications, capabilities, and skills * A degree in an analytical field e.g. Business and Finance, Engineering, or Mathematics. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

Requirements

Proven project/program management capabilities
Solid understanding of risk management frameworks and the Three Lines of Defense model in large organizations
Experience working closely with model risk and/or model development functions and experience in Model Risk Management
Strong stakeholder management and teamwork skills, with clear communication and effective relationship building
Ability to synthetize data and build commentary to share with a senior audience as needed
Self-motivation, outstanding organizational skills and ability to work independently in a fast-paced environment
Intellectual curiosity with a proven ability to learn quickly

Benefits

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

Skills

Risk Management Model Risk Governance Compliance Regulatory Audit Model Risk Policy CCAR

Head of Data Protection & AI Compliance

AXA

Full Time

$120,000 - $180,000*

3 days ago

Ireland

Worldwide

AI Compliance & Legal

Senior

Data Protection

AI Compliance

Regulatory Requirements

+3 more

Job Description

AXA Ireland is seeking a strategic and experienced Head of Data Protection & AI Compliance to join our team, reporting directly to the Chief Risk Officer. In this pivotal role, you will lead and shape the all-Ireland data privacy and AI strategy, setting the standards and policies that underpin our commitment to responsible innovation. You will work closely with senior management to ensure that data privacy and AI considerations are embedded in our business ambitions, while providing assurance to the Board and Executive team on compliance and regulatory risks. If you are passionate about shaping the future of responsible data and AI governance, this is an exciting opportunity to play a key role in AXA Ireland’s continued growth and integrity. At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work majority of your week away from home. Away from home means either attendance at one of our head office locations, visiting clients or attending industry events. What you’ll be doing: Lead, energise, and engage high-performing teams through feedback, coaching, and effective communication, fostering a culture of development and inclusion. Empower colleagues to act, seek learning opportunities, and create a sense of belonging, while promoting a customer-first approach. Maintain a high-performing team focused on delivering growth, innovation, and excellent customer journeys aligned with AXA’s values. Develop and implement robust Data Privacy and AI Compliance policies, ensuring adherence to regulatory requirements and Group standards. Support the Executive Team and Board by driving continuous improvement of AXA’s Data Protection and AI Framework, providing high-quality reporting and insights. Deliver training and communication to promote awareness of regulatory obligations and embed a culture of compliance across the organisation. Oversee incident response, manage data subject requests, and ensure compliant handling of sensitive data and AI-related activities. Coordinate with cross-functional teams to monitor key risk indicators, manage data incidents, and ensure effective resolution of data and AI issues. Lead project sign-offs, manage resources efficiently, and oversee budgets within delegated authorities to achieve strategic and financial objectives. Support with drafting confidentiality agreements, ensure compliance in project processes, and contribute to a customer-centric, innovative data privacy environment. What we’re looking for: A minimum of 10 years’ experience in a data protection/legal environment/similar level role, ideally with previous experience/exposure to the insurance/financial industry. A Professional Certificate in Insurance (APA Personal & Commercial) and/or other equivalent insurance qualification such as DII and/or data protection equivalent is ideally required. A Qualified solicitor or equivalent experience in a Data protection role. and/or Compliance Institute – Professional Certificate in Compliance or other appropriate Data Protection Qualification. Experience in developing and navigating the evolving landscape of AI and related regulations. Proven ability to provide clear, concise advice to senior management and Board sub-committees. Exposure to regulatory bodies or AXA Group functions (where relevant), with detailed knowledge of financial services, data privacy, AI regulation, and technology. Strong interpersonal skills, capable of influencing and challenging stakeholders at all levels to drive compliance and behavioral change. Credibility built through a combination of commercial acumen and technical expertise, with the ability to scrutinise and challenge business plans. Excellent analytical, problem-solving, and strategic thinking skills, with a pragmatic approach to decision-making. Good understanding of key processes, controls, and organizational structures within the company. Adaptable, forward-thinking, and able to thrive in a fast-paced environment, leading change effectively. Exceptional communication and presentation skills, with the ability to convey complex concepts clearly and impactfully. Strong leadership, motivation, and collaboration skills, with a pragmatic and common-sense approach to work. This role is allocated CF1 role under Fitness & Probity Regime, which means the successful candidate will be subject to an enhanced level of background screening requirements. You can find more information on axa.ie/careers. As a precondition of employment for this role, you must be eligible and authorized to work in Ireland and/or the United Kingdom. This recruitment campaign will be used to support permanent, temporary and/or extension for any upcoming similar positions.

Requirements

Minimum 10 years' experience in a data protection/legal environment/similar level role
Professional Certificate in Insurance (APA Personal & Commercial)
Qualified solicitor or equivalent experience in a Data protection role
Previous experience/exposure to the insurance/financial industry
Ability to lead and shape data privacy and AI strategy
Ability to work closely with senior management
Ability to provide assurance to the Board and Executive team on compliance and regulatory risks

Benefits

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

Skills

Data Protection AI Compliance Regulatory Requirements Data Privacy AI Governance Group Standards

AI Controls & Product Management Associate

Full Time

$100,000 - $150,000*

3 days ago

Worldwide

AI Policy, Enablement & Training

Mid

AI/ML Concepts

Tableau

JIRA

+1 more

Job Description

The AI Controls & Product Management Associate is responsible for managing controls-related applications, conducting AI controls reviews across new use cases, and contributing to the development and execution of the controls AI strategy. If you are interested to contribute in this development then this is a role for you! As an AI Controls & Product Management Associate within JPMorgan, you'll be responsible for owning and managing controls-related applications and tooling, ensuring they are fit for purpose and continuously improved to meet the needs of the business. You will play a key role in reviewing AI controls within new use cases being implemented across the business, ensuring risks are appropriately identified and mitigated. The role also contributes to shaping and steering the controls AI strategy, identifying where AI can be leveraged to enhance and evolve the controls environment. Job responsibilities * Act as Product Owner for controls-related applications and tooling, managing the product backlog, defining user stories, prioritising features, and working closely with development teams to deliver iterative improvements aligned to business needs. * Review and assess AI controls within new use cases being implemented across the business, evaluating associated risks such as model risk, data integrity, bias, explainability, and regulatory compliance, ensuring appropriate controls are in place prior to and following deployment. * Contribute to the development and execution of the controls AI strategy, proactively identifying and evaluating opportunities where AI can be incorporated into controls-related tooling and workflows in a governed and controlled manner. * Partner with technology and business stakeholders to ensure controls-related applications and AI implementations are aligned to business requirements, risk appetite, and change management protocols. Required qualifications, capabilities, and skills * Experience in financial services industry with background in controls, audit, quality assurance, operational risk management, or compliance; or equivalent subject matter expertise in a relevant business related function/operation. * Experience in product ownership or product management, including managing backlogs, defining user stories, and working with agile methodologies and tools such as JIRA. * Familiarity with AI/ML concepts and AI governance or risk frameworks, with the ability to critically assess risks associated with AI implementations in a regulated financial services environment. * Hands-on experience with data analytics and automation tooling (e.g., Alteryx, Tableau, or similar low-code platforms). J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Requirements

Experience in financial services industry
Product ownership or product management
Familiarity with AI/ML concepts
Hands-on experience with data analytics and automation tooling
Ability to critically assess risks associated with AI implementations
Strong communication and collaboration skills

Benefits

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

Skills

AI/ML Concepts Tableau JIRA Alteryx

Senior Manager, Product & AI Policy

Airbnb

Full Time

$204k - $255k

3 days ago

Worldwide

Senior

Machine Learning

Policy Development

+4 more

Job Description

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: In Community Policy, our mission is to create and evolve principled policies that establish the rules of the road for guests and hosts across Airbnb. This involves solving some of the most complex Trust & Safety challenges of our time. Our work is informed by rigorous research and stakeholder collaboration, and we design policies that can support our community at scale. We team with our cross-functional partners to create accessible policy enforcement guides and to continuously maintain and improve our policies. The Difference You Will Make: As a Senior Manager, Product & AI Policy, you will partner closely with our product and business teams to support Airbnb's strategic objectives. You will serve as a key player in identifying policy vulnerabilities and designing global policies that facilitate a high quality experience across Airbnb. A critical part of this role is enabling our business and product teams to move quickly and confidently, with policy frameworks that support innovation. You will develop policies for AI-powered product initiatives, informing guardrails that protect the community. This role entails understanding the needs of hosts and guests and collaborating closely with our business, design, and product teams. The policies you build will directly shape how millions of hosts and guests experience Airbnb and their confidence in the platform. About You You are a seasoned Product Policy leader who loves solving complex problems and has a track record of strong cross-functional collaboration. You are experienced working with business and product teams to understand their strategic objectives and to deliver policy solutions that enable business goals. You see yourself as a partner to the business, not a gatekeeper. You have deep experience developing AI policy, including supporting the deployment of AI features in consumer products. You are fluent in the evolving AI policy landscape and can translate complex AI considerations into practical, actionable guidance. You are an excellent communicator with exceptional writing skills. You are an adept presenter with experience engaging with all levels of leadership, including senior executives. You are principled and rigorous, and incorporate diverse perspectives in pursuit of the best decisions and outcomes possible. You are proactively data-driven: you don't wait for problems to surface — you seek out data, research, and insights to identify gaps and opportunities to improve policies before they become issues. You are knowledgeable and experienced at creating and implementing policies, and have a deep background on and passion for business policy and commercial policy issues. You are a team player who thrives in a fast-moving environment and brings a strategic mindset to your work. A Typical Day: Lead policy development for new and existing product areas, including AI-powered features, drafting clear and scalable policy frameworks that keep pace with product innovation Collaborate with cross-functional stakeholders across the organization, including Product, Business, Supply, Design, Communications, Operations, Public Policy, and Legal Foster, build, and maintain relationships with leadership of internal business verticals, acting as a trusted policy partner who helps teams move forward Guide policy operationalization efforts in partnership with cross-functional stakeholders Support product and AI feature launches with appropriate risk mitigation guidance and policy deliverables Proactively use data, research, and community insights to evaluate existing policies, identify improvement opportunities, and drive revisions before issues escalate Your Expertise: 10+ years experience in a Policy, Legal, or Trust and Safety role Prior leadership on product policy, with demonstrated experience developing AI policy in support of AI-driven product initiatives Familiarity with the AI policy landscape Demonstrated capacity for critical thinking, research, and analysis Strong attention to detail Exceptional writing and communication skills Thoughtful business judgment, strategic thinking, and ability to work well under pressure Proven ability to partner with and enable business teams, translating policy requirements into practical solutions that support commercial objectives Experience working in a matrix and driving solutions to complex problems through cross-functional collaboration Fluency in data analysis and data-driven decision-making, including proactively using data to surface policy improvement opportunities Ability to explain and simplify complex information to others Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $204,000—$255,000 USD

Requirements

5+ years of experience in AI policy development
Strong understanding of AI and machine learning concepts
Excellent writing and presentation skills
Ability to collaborate with cross-functional teams
Experience with data analysis and interpretation
Strong communication and interpersonal skills
Ability to work in a fast-paced environment
Strong problem-solving skills

Benefits

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

Skills

AI Machine Learning Policy Development Data Analysis Writing Presentation Cross-functional Collaboration

AI Security Staff Engineer - AI Red Team

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Staff

Python

ISO 27001

ISO 27701

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role candidates must have considerable production experience. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will design and execute structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in enterprise security and governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Systems thinker with a curious and adversarial mindset

Skills

Python ISO 27001 ISO 27701 ISO 27017 Adversarial Machine Learning SOC 2 AI Deployment Architectures

AI Security Staff Engineer - AI Red Team

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Staff

Python

ISO 27001

ISO 27701

+4 more

Job Description

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in enterprise security and governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Systems thinker with a curious and adversarial mindset

Skills

Python ISO 27001 ISO 27701 ISO 27017 Adversarial Machine Learning SOC 2 AI Deployment Architectures

AI Security Staff Engineer - AI Red Team

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Staff

Python

Adversarial Machine Learning

AI Deployment Architectures

+4 more

Job Description

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in enterprise security and governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Systems thinker with a curious and adversarial mindset

Skills

Python Adversarial Machine Learning AI Deployment Architectures ISO 27001 SOC 2 ISO 27701 ISO 27017

AI Security Expert - 115

Full Time

Up to PHP 150k

4 days ago

Worldwide