WE ARE HIRING

AI Governance Lead Auditor (ISO/IEC 42001)

About Us

RSI Security is a leader in cybersecurity compliance and conformity assessment. We operate an independent Certification Body (CB) aligned with ISO/IEC 17021-1 requirements and are currently pursuing accreditation for ISO/IEC 42001 (Artificial Intelligence Management Systems).

We maintain strict separation between our certification and advisory entities to protect the integrity and independence of every audit. Our mission is to build a rigorous, globally respected AI governance certification program that ensures AI Management Systems (AIMS) are assessed with impartiality and technical depth.

About the Role

As an AI Governance Lead Auditor, you will lead independent certification audits of client Artificial Intelligence Management Systems (AIMS) against ISO/IEC 42001. This is a dedicated Certification Body role and is distinct from consulting, advisory, or implementation activities. You will lead audit teams in evaluating complex AI lifecycles, including training, validation, deployment, monitoring, and decommissioning.

Your role is to evaluate objective evidence and determine conformity to ISO/IEC 42001 requirements. Audit conclusions directly inform the independent Certification Decision process. Certification decisions are made by a separate, authorized function to preserve impartiality and comply with ISO/IEC 17021-1 requirements. Depending on competence and authorization status, this role may also include service as an independent Certification Decision Maker for engagements in which the individual did not participate as an auditor.

What You’ll Do

• Lead Rigorous Certification Audits: Plan and execute Stage 1 and Stage 2 audits, applying the specialized requirements of ISO/IEC 42006. This includes risk-based sampling and the evaluation of AI risk management integration (ISO/IEC 23894).
• Navigate the AI Lifecycle: Assess governance effectiveness across the entire AI pipeline, identifying and grading nonconformities with precision and technical depth.
• Uphold Impartiality Guardrails: Operate under RSI’s formal impartiality controls. This includes strict adherence to "cooling-off" periods for former advisory clients and regular conflict-of-interest attestations to safeguard the CB’s independence.
• Engage with Accreditation Oversight: Participate in periodic accreditation body witness audits, demonstrating audit methodology and technical competence under external oversight as part of our accredited certification activities.

Competence & Authorization

Authorization to perform audits at RSI is a formal status granted through our documented competence evaluation and authorization framework. Candidates will undergo a structured review of:

• Technical Domain Expertise: Proven knowledge of AI architectures, data governance, and model validation.
• Standard Mastery: Proficient application of ISO/IEC 17021-1, 42001, and 42006.
• Performance Monitoring: Continuous authorization is maintained through ongoing performance monitoring, including workpaper reviews and witnessed audit evaluations.

What You’ll Bring

• Experience: 7+ years in GRC, cybersecurity, or management system assessment. Proven experience leading audit teams and managing complex client stakeholders is essential.
• Certifications: ISO/IEC 42001 Lead Auditor certification is preferred. Candidates with active ISO Lead Auditor credentials (such as ISO 27001 or 9001) and demonstrated AI governance experience will be considered, provided they are prepared to obtain ISO/IEC 42001 authorization.
• Technical Acumen: A deep understanding of AI lifecycle governance, SaaS/Enterprise AI architectures, and the nuances of algorithmic bias and impact assessments.
• Integrity: A commitment to the "Certification Mindset"—valuing objective evidence and professional skepticism over advisory-style problem-solving.

Why Join RSI?

You will be joining one of the emerging leaders building ISO/IEC 42001 certification capabilities globally. We offer a 100% remote work environment, access to structured audit workflow tools, and a culture that values technical precision and ethical independence above all else.

RSI Security is an Equal Opportunity Employer. We prioritize competence, qualifications, and the integrity of the certification process in all hiring decisions.

WE ARE HIRING

AI Governance Technical Expert (ISO/IEC 42001)

About Us:

About the Role:

As an AI Governance Technical Expert, you will support ISO/IEC 42001 certification audits by providing specialized subject-matter expertise related to AI lifecycle governance, data governance, and model oversight. This is a Certification Body support role and is distinct from consulting, advisory, implementation, or audit leadership functions. Technical Experts supplement audit team competence but do not independently determine conformity, grade nonconformities, sign audit reports as Audit Team Leader, or participate in certification decisions. You will contribute structured technical analysis to audit teams evaluating AI lifecycles, including design, development, validation, deployment, monitoring, and decommissioning within SaaS and enterprise environments.

Technical Experts may pursue formal auditor authorization through RSI’s documented competence and authorization framework. Any transition to an auditor role requires full completion of competence evaluation, training, witness audit requirements, and formal authorization prior to performing audit or certification decision activities.

What You’ll Do

• Provide Technical Lifecycle Expertise: Support audit teams in evaluating AI governance controls across the lifecycle, including model governance, data governance, human oversight, and risk integration.
• Review Technical Artifacts: Analyze technical documentation, system descriptions, governance frameworks, validation records, and lifecycle evidence to provide structured input to the Audit Team Leader.
• Participate in Audit Interviews: Contribute domain expertise during interviews related to AI model development, validation practices, monitoring controls, and enterprise governance structures.
• Support Risk-Based Evaluation: Assist in assessing alignment with ISO/IEC 23894 AI risk management principles and integration into lifecycle governance processes.
• Operate Within Impartiality Guardrails: Comply with RSI’s formal independence and conflict-of-interest controls, including cooling-off requirements and periodic attestations.
• Engage Under Oversight: Participate in accreditation body witness audits when assigned, demonstrating technical competence under structured external oversight.

Competence & Authorization

Authorization as a Technical Expert is granted through RSI’s documented competence evaluation and authorization framework. Candidates will undergo structured evaluation of:

• AI Technical & Lifecycle Competence: Demonstrated understanding of AI lifecycle stages, model governance concepts, data governance principles, and risk-based AI oversight.
• Sector / Contextual Competence: Familiarity with SaaS / Enterprise AI governance environments, including enterprise IT governance structures and organizational oversight models.
• Independence Verification: Completion of conflict-of-interest screening and confirmation of no prohibited advisory involvement.
• Ongoing Monitoring: Performance review by Audit Team Leaders, quality review of technical input, and periodic independence attestation.

Technical Experts are authorized within defined technical categories and sector scopes. Assignment shall not occur outside authorized domains.

What You’ll Bring

• Experience: 7+ years in AI governance, data governance, model risk management, cybersecurity governance, enterprise risk, or related technical oversight functions.
• AI Governance Depth: Strong understanding of AI lifecycle stages, model validation practices, data lifecycle controls, documentation governance, and human oversight mechanisms.
• Enterprise Context Awareness: Familiarity with SaaS architectures (high-level), enterprise IT governance structures, and organizational AI oversight frameworks.
• Structured Analytical Thinking: Ability to evaluate evidence objectively and provide disciplined, audit-support input rather than advisory recommendations.
• Professional Integrity: Commitment to independence, impartiality, and operating within clearly defined role boundaries.

Why Join RSI?

You will be joining one of the emerging leaders building ISO/IEC 42001 certification capabilities globally. We offer a 100% remote work environment, access to structured audit workflow tools, and a culture that values technical precision and ethical independence above all else.

RSI Security is an Equal Opportunity Employer. We prioritize competence, qualifications, and the integrity of the certification process in all hiring decisions.

Scale Labs, Research Scientist — AI Controls and Monitoring

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities.

Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision.

As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might:

• Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;
• Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;
• Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;
• Collaborate with policymakers, engineers, and other researchers to establish standards and benchmarks for AI monitoring and escalation.

Ideally you’d have:

• Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance.
• Practical experience conducting technical research collaboratively. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes.
• A track record of published research in machine learning, particularly in generative AI.
• At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development.
• Strong written and verbal communication skills to operate in a cross-functional team.

Nice to have:

• Experience with runtime monitoring, anomaly detection, or observability for ML systems.
• Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate).
• Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description:

Financial Crime Model Validation Manager

The Financial Crime Model Validation Manager is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk assessment/rating, fraud detection and watchlist screening/interdiction systems.

Responsibilities will include designing and/or updating testing strategies (e.g., creation of or enhancement to risk and control matrices) which will aid in the independent testing of these systems. Testing could include control conceptual design testing, control operating effectiveness testing, and/or issue validation testing. Candidates will be required to execute analytical projects working closely with senior stakeholders and clients to deliver value to financial institution clients.

• Testing in the Model Validation domain will include:
• Review of model governance, including processes surrounding their effectiveness
• Critical challenge of model design and development
• Testing of data inputs, including data quality issues, data mapping, ETL processes, balancing and reconciliation controls, data lineage, throughput, and backtesting
• Testing that the model logic is working as intended
• Assessment of model user access controls, key performance indicators (KPIs), and alert review processes
• Evaluation of model performance, including tuning and sanctions sensitivity testing
• Documentation of testing using standardized work papers and model validation reports and other client deliverables
• Engagement Management: provide oversight and guidance to the testing team for efficient engagement delivery, maintain engagement budget, provide timely reporting of engagement progress to the client and engagement executive.

Qualifications:

• Bachelor's and/or advanced degree with a concentration in Data Management or Analytics; Finance; Computer Science, Management Information Systems, or Statistics/Mathematics.
• 4+ years of experience within the Financial Crime industry.
• 4+ years of model validation, AML system implementation, data lineage, or quality testing experience.
• Basic knowledge of the software development lifecycle.
• Demonstrated experience with data analysis, business analysis, and data validation, activities with financial services institutions.
• Demonstrated experience with performing independent testing on models, including an understanding of risks/controls and experience documenting testing within workpapers.
• Experience executing model validations of financial crime systems, including but not limited to: Verafin, Actimize, BAM/BAM+, YellowHammer, FCRM, FinanSeer, FiServ, Lexis Nexis Bridger, FircoSoft, Quantexa, Palantir, Accuity, RDC, and others.
• Demonstrated experience and knowledge of banking and compliance systems.
• Demonstrated experience working in a results-driven environment within a team environment.
• Strong organizational, interpersonal, and presentation skills.
• Ability to actively engage with stakeholders to collect information, and issues, and make recommendations for business and process improvements.
• Highly effective verbal and written communication skills and the ability to interact with all levels of management.
• Strong teamwork, communication, and customer service skills.
• Strong analytical, attention to detail, organizational, and core project management skills.
• Possesses knowledge of the challenges of data cleansing and integration.
• Ability to work with IT and business personnel.
• Travel as required by client needs.

Preferred:

• Prior professional services/consulting firm experience
• Experience with data extraction and analysis tools such as SQL/Python.
• Experience with visualizing and communicating analytical results using technologies such as Tableau, Power BI, Cognos, QlikView, Spotfire, and D3

#LI-JB1 #FinancialCrime #GoCrowe

We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.

Our Benefits:
Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!

How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!

More about Crowe:
Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.

Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.

Crowe LLP does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.

Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.

If you are interested in applying for employment with Crowe and are in need of an accommodation or require special assistance to navigate our website or to complete your application, please visit our Applicant Assistance and Accommodations page for more information: https://careers.crowe.com/crowe-applicant-assistance-and-accommodation

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 experienced retail and pharmacy domain professionals to help create realistic, profession-based prompts and tasks used to evaluate advanced AI models.

In this role, you will design real-world scenarios based on actual workflows in retail operations, pharmacy environments, and customer-facing service roles. These prompts will be used to test how well AI systems perform in day-to-day professional situations.

This role is ideal for professionals with hands-on experience in retail, pharmacy, store operations, or customer-facing environments who understand real operational workflows and decision-making processes.

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: India, Pakistan, Bangladesh, Turkey, Nigeria, Ghana

Selection process: Online test related to AI Prompt Creation

• Create realistic, first-person prompts based on real job workflows
• Design tasks that reflect real-world retail, pharmacy, and customer-service scenarios
• Use relevant public data, product information, prescriptions, inventory lists, or documents as input material
• Ensure prompts are clear, structured, and aligned with real occupational responsibilities
• Review and refine tasks to ensure accuracy, realism, and completeness
• Follow structured guidelines for prompt writing and evaluation
• Collaborate with remote teams working on AI training and evaluation projects

• 5+ years of professional experience in retail, pharmacy, store operations, or customer-facing service roles
• Degree in Business, Pharmacy, Management, Healthcare, or related field preferred
• For pharmacist profiles: Pharmacy degree and license (where applicable)
• Strong understanding of real-world retail or pharmacy workflows
• Ability to translate real job situations into clear, structured written instructions
• Strong analytical, organizational, and communication skills
• Attention to detail when writing and reviewing task descriptions
• Comfortable working with guidelines and following structured formats
• Good written English communication skills
• Experience in retail operations, pharmacy, customer service, or store management is strongly preferred

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading Tech companies.

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 experienced retail and pharmacy domain professionals to help create realistic, profession-based prompts and tasks used to evaluate advanced AI models.

In this role, you will design real-world scenarios based on actual workflows in retail operations, pharmacy environments, and customer-facing service roles. These prompts will be used to test how well AI systems perform in day-to-day professional situations.

This role is ideal for professionals with hands-on experience in retail, pharmacy, store operations, or customer-facing environments who understand real operational workflows and decision-making processes.

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: India, Pakistan, Bangladesh, Turkey, Nigeria, Ghana

Selection process: Online test related to AI Prompt Creation

• Create realistic, first-person prompts based on real job workflows
• Design tasks that reflect real-world retail, pharmacy, and customer-service scenarios
• Use relevant public data, product information, prescriptions, inventory lists, or documents as input material
• Ensure prompts are clear, structured, and aligned with real occupational responsibilities
• Review and refine tasks to ensure accuracy, realism, and completeness
• Follow structured guidelines for prompt writing and evaluation
• Collaborate with remote teams working on AI training and evaluation projects

• 5+ years of professional experience in retail, pharmacy, store operations, or customer-facing service roles
• Degree in Business, Pharmacy, Management, Healthcare, or related field preferred
• For pharmacist profiles: Pharmacy degree and license (where applicable)
• Strong understanding of real-world retail or pharmacy workflows
• Ability to translate real job situations into clear, structured written instructions
• Strong analytical, organizational, and communication skills
• Attention to detail when writing and reviewing task descriptions
• Comfortable working with guidelines and following structured formats
• Good written English communication skills
• Experience in retail operations, pharmacy, customer service, or store management is strongly preferred

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading Tech companies.

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 experienced retail and pharmacy domain professionals to help create realistic, profession-based prompts and tasks used to evaluate advanced AI models.

In this role, you will design real-world scenarios based on actual workflows in retail operations, pharmacy environments, and customer-facing service roles. These prompts will be used to test how well AI systems perform in day-to-day professional situations.

This role is ideal for professionals with hands-on experience in retail, pharmacy, store operations, or customer-facing environments who understand real operational workflows and decision-making processes.

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: India, Pakistan, Bangladesh, Turkey, Nigeria, Ghana

Selection process: Online test related to AI Prompt Creation

• Create realistic, first-person prompts based on real job workflows
• Design tasks that reflect real-world retail, pharmacy, and customer-service scenarios
• Use relevant public data, product information, prescriptions, inventory lists, or documents as input material
• Ensure prompts are clear, structured, and aligned with real occupational responsibilities
• Review and refine tasks to ensure accuracy, realism, and completeness
• Follow structured guidelines for prompt writing and evaluation
• Collaborate with remote teams working on AI training and evaluation projects

• 5+ years of professional experience in retail, pharmacy, store operations, or customer-facing service roles
• Degree in Business, Pharmacy, Management, Healthcare, or related field preferred
• For pharmacist profiles: Pharmacy degree and license (where applicable)
• Strong understanding of real-world retail or pharmacy workflows
• Ability to translate real job situations into clear, structured written instructions
• Strong analytical, organizational, and communication skills
• Attention to detail when writing and reviewing task descriptions
• Comfortable working with guidelines and following structured formats
• Good written English communication skills
• Experience in retail operations, pharmacy, customer service, or store management is strongly preferred

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading Tech companies.

Our organization

The Alberta Securities Commission (ASC) is the industry-funded regulator responsible for administering the province's securities laws. It is entrusted with fostering a fair and efficient capital market in Alberta and with protecting investors. As a member of the Canadian Securities Administrators (CSA), the ASC works to improve, coordinate and harmonize the regulation of Canada's capital markets.

The Information Technology (IT) team is responsible for making sure that the ASC has the appropriate resources necessary to ensure the consistent, reliable and secure delivery of services, and understanding and anticipating the organization’s unique technology requirements.

The opportunity

Reporting to the Manager, Enterprise Information, Data and AI, the Data and AI Governance Specialist will support the development and implementation of data policies, standards, and practices including the responsible use of AI. This role helps assess the impact of data on business processes and systems, identify opportunities to deliver new and innovative data solutions, facilitate data and data management activities as well as AI governance and risk assessments.

Key responsibilities include

Data Governance

• Working with the Manager, Enterprise Information, Data and AI to lead or participate in the design and ongoing improvement of enterprise-wide governance frameworks for data, information and records.
• Lead, facilitate and coordinate tactical governing bodies.
• Establish and maintain standards and guidelines for data quality, security, and privacy.
• Maintain comprehensive documentation on activities, decisions, and outcomes.
• Collaborate with various departments on data governance objectives and standards and foster a culture of data stewardship, consistency, ethical data use, and accountability across the ASC.
• Recommend and integrate governance approaches for structured data and unstructured content.
• Conduct AI and data governance risk assessments to identify ethical, legal, privacy and reputational risks.
• Identify and recommend KPIs and success metrics and manage governance requirements for system implementation and migrations.
• Facilitate or participate in data and AI governance committees and working groups.

 AI Governance & AI Risk Management

• Building on the data governance framework, design and update AI governance policies, standards and processes.
• Lead the development and delivery of AI literacy programming and training to support informed and responsible AI adoption.
• Develop monitoring mechanisms to support oversight of AI use, compliance, and regulatory obligations.

Data Quality, Lifecycle Management, Compliance & Risk

• Conduct data quality assessments and collaborate with data engineers to resolve issues.
• Develop and maintain a comprehensive data catalog documenting data assets, lineage and usage and ensure accuracy of metadata.
• Monitor compliance with data privacy, security, quality, and retention requirements and produce related reports, dashboards and risk summaries.
• Automate applicable governance processes and data life cycle management including retention and archiving using MS Purview.

The ideal candidate will possess

• A diploma or university degree in computer science, information technology, or computer engineering.
• A minimum of 8 to 10 years of progressive experience in data management, risk management, data governance and related solutions.
• A least 3 years specializing in AI governance, framework design, and solution implementation is preferred.
• Relevant professional certifications are considered assets, including Microsoft Azure role-based, Certified Data Management Professional (CDMP), Certified Information Management Professional (CIMP), Data Governance and Stewardship Professional (DGSP), AI Governance Professional (AIGP) etc.
• Strong knowledge of implementing data governance tools, metadata management and associated processes.
• Direct experience with cloud services, particularly Azure and of enterprise repository, data modeling, data mapping, and data profiling tools.
• Excellent communication and presentation skills, with the ability to influence business and technical stakeholders.
• Proven organizational skills, including attention to detail, the ability to manage multiple priorities, and excellent critical thinking, analytical, and decision‑making skills.
• Experience in change management and driving adoption of data governance practices.

To apply

Click the Apply for This Job Online button to submit your resume, cover letter and salary expectations by April 3, 2026. This position will work out of the ASC office located in Calgary, Alberta. You will be contacted if you are selected for an interview. More information about working at the ASC including our comprehensive Total Rewards package can be found on our website at www.asc.ca.

We offer a hybrid work environment and flexibility, a competitive total rewards package consisting of 100 per cent employer-paid benefits, comprehensive health and dental, employee life insurance, short-term and long-term disability; retirement benefits; travel insurance; paid vacation time, flex and sick days; an employee family assistance program; transportation allowance, generous flexible spending account and professional development through subsidized courses, conference, workshops, seminars and in-house training. We also encourage fun and giving back to the community with initiatives offered through our ASC Social Club and annual United Way Campaign. 

The ASC is an equal opportunity employer and encourages applications from all qualified individuals. We celebrate diversity and are committed to providing an inclusive work environment where every employee feels valued and respected.

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary
This is a highly technical individual contributor role. The Distinguished Engineer is expected to serve as a technical authority and trusted advisor for AI security and related infrastructure security domains.

This role is expected to dedicate significant time to hands-on engineering, including building reusable security patterns, reference architectures, and proof-of-concept implementations for AI systems and the platforms that support them. In parallel, the role provides expert governance, architectural guidance, and technical oversight to ensure secure, scalable, and compliant AI adoption across the enterprise.

The Distinguished Engineer will work closely with cross-functional partners to embed security into the AI lifecycle—from data and model development through deployment and operations—while helping shape enterprise strategy and standards based on real-world engineering outcomes.

Key Responsibilities

AI Security Leadership (Primary Focus)
• Define and help execute the enterprise AI security strategy, spanning secure model selection, development, and deployment criteria, adversarial threat mitigation, and alignment with emerging AI governance requirements.
• Design, build, and maintain reusable AI security frameworks, reference patterns, and technical standards for model integrity, secure data pipelines, and privacy-preserving machine learning.
• Perform hands-on security assessments of AI systems, identify risks, and provide mitigation guidance based on AI security posture management and detection findings.

• Drive innovation in AI security techniques, controls, and tooling through applied research and practical implementation.
• Apply and guide the application of AI security frameworks such as MITRE ATLAS, NIST RMF, and emerging ISO/IEC AI standards to secure the end-to-end AI lifecycle.

Infrastructure Security Expertise (Secondary Focus)
• Apply Zero Trust principles to hybrid and cloud infrastructure environments supporting AI workloads, including workload identity, segmentation, and continuous verification.
• Partner closely with Enterprise Architecture and Platform Engineering to integrate AI security controls into infrastructure design patterns and shared services.
• Guide and, where appropriate, directly implement security capabilities across on-premises and cloud platforms to ensure consistent protection for AI and traditional systems.

Strategic Engineering Responsibilities
• Hands-on Engineering & Prototyping: Design and build proof-of-concept solutions, reference implementations, and reusable components to validate AI security and infrastructure security approaches. Provide ongoing technical support to teams implementing enterprise patterns and components.
• Framework and Pattern Development: Architect repeatable security patterns and guardrails that can be adopted by data science, engineering, and platform teams.
• Technology Evaluation: Research emerging AI and infrastructure security technologies to assess enterprise applicability and maturity. Ensure that enterprise components and solution architectures leverage the best commercial and open-source software and services available, and that the resulting AI security stack is minimally complex and massively scalable and economic.
• Technical Innovation: Translate emerging threats, research, and regulatory guidance into practical, actionable engineering solutions.

Governance, Advisory, and Oversight Responsibilities
• Provide expert design reviews and technical oversight for AI systems, platforms, and infrastructure architectures.
• Define and evolve AI security and infrastructure security standards in partnership with governance stakeholders.
• Advise on security-related business cases and strategic investments for AI platforms and capabilities.
• Serve as a trusted advisor and mentor to security, platform, and engineering teams on AI security best practices.
• Advise on enterprise response to emerging AI security threats.

Cross Functional-Functional Collaboration & Stakeholder Engagement
This role collaborates closely with key partners across the organization, including but not limited to:
• Data Science & Machine Learning Engineering: Embedding security into model development, evaluation, and deployment workflows.
• Platform, Cloud, and Infrastructure Engineering: Securing AI platforms, pipelines, and runtime environments.
• Legal, Privacy, and Compliance: Ensuring alignment with regulatory, privacy, and contractual requirements for AI systems and data usage.
• Enterprise Architecture: Aligning AI security patterns with broader enterprise technology and architecture standards.
• Risk Management and Audit: Supporting risk assessments, control validation, and audit readiness for AI-enabled systems.
• Application Development / Application Security: Partner with Application Security to provide technical support and guidance to embed security in AI development pipelines.

Additional Strategic and Leadership Responsibilities
• Set and guide technical direction for AI security and adjacent infrastructure security domains based on hands-on engineering insight.
• Influence enterprise technology strategy for secure AI adoption through thought leadership and practical guidance.
• Contribute to industry and internal thought leadership through publications, presentations, patents, or standards.
• Influence key technology partners and solution providers to ensure that their solutions comply with CVS Health AI Security standards.

Required Qualifications
• AI Security Frameworks: MITRE ATLAS, NIST RMF, ISACA AI Audit Toolkit, and emerging ISO/IEC AI security standards.
• AI Technologies: Expert conceptual and hands-on implementation knowledge of core ML and generative AI technologies including transformer-based NLP, LLM-based generative AI and agentic AI.
• AI Risk Management & Model Security: Threat modeling, adversarial defenses, model lifecycle security, and vulnerability management.
• Data Privacy & Protection: Privacy-enhancing technologies (PETs), secure data handling patterns, and regulatory alignment (e.g., HIPAA, GDPR).
• Infrastructure Security: Zero Trust architectures, secure AI pipelines, and cloud-based GenAI platform controls.
• Governance & Compliance: Policy development, risk indicators, regulatory interpretation, and audit support for AI systems.
• Leadership & Collaboration: Ability to influence engineering, legal, privacy, and business stakeholders.

Required Experience
• 15+ years of AI experience, including significant depth in advanced technical or architectural roles.
• 5+ years of cybersecurity experience defining and integrating security standards and controls that aligned to established frameworks such as NIST CSF.
• Deep expertise in AI security concepts such as adversarial ML, secure model deployment, AI agent authorization, AI data loss protection, AI safety, and AI risk management.
• Strong background in Zero Trust architecture and hybrid infrastructure security.
• Demonstrated ability to lead and influence large-scale, cross-functional security initiatives.
• Hands-on experience building, deploying, and securing AI systems and platforms in enterprise environments.
• Practical experience applying AI security and risk management frameworks in real-world engineering contexts.

Preferred Qualifications
• CISSP and/or CISM preferred.
• AI security, cloud security, or data protection–focused certifications are a plus.

Education

• Bachelor’s degree in Computer Science, Cybersecurity, or a related technical field required.
• Master’s degree in AI, Machine Learning, Cybersecurity, or a related discipline strongly preferred.

Pay Range

The typical pay range for this role is:

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.  This position also includes an award target in the company’s equity award program. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Address:

Model Validation (75%)

• Support senior managers in the development and execution of overall work plan
• Manage assigned validation/review projects and ensure a timely delivery of the validation report with high quality.
• Support senior managers in the on-going monitoring of AML and Fraud models to identify early warning of model performance deterioration and ensure proper mitigation/action plan in place in such situations;
• Perform research and analysis of applicable methodologies; benchmark model owners’ approaches; and present and recommend appropriate alternative for model developers;
• Produce validation reports, with clarify of issues and actionable items, including recommendations, to help the lines of business enhance the validated model
• Ensure model inventory is accurate and up-to-date, reflecting the model attributes as evidenced in relevant documentations.
• Provide regular updates on the assigned vetting/review, including a regular review of models/methodologies implemented and ensure that high model risk issues are raised and addressed at appropriate management level
• Keep abreast with advances in credit risk analytics developments and applications by vendors, consultants, regulatory agencies and competitors. Recommend/develop enhancements appropriate for the Bank

Relationship Management (5%)

• Partner with the lines of business, corporate functions, and ERPM to enhance understanding of model risks relating to Corporate Risk models and ensure transparency of models used in their respective areas
• Build and manage relationships with the line of business/risk managers/executives in the joint implementation of strategic changes in the business by assisting model development via parallel-to-development model risk consulting. Act as internal consultant to proactively help the lines of business manage its’ model risk
• Provide support to large-scale projects as required and subject matter advisory support to other work streams as appropriate
• Develop relationships with other financial institutions; provide ongoing peer benchmarking support

Managerial Leadership (5%)

• Support the Senior Manager to continuously provide training to (internal or external) junior resources on model risk and/or validation related matters.

Governance (5%)

• Communicate model risk issues to the lines of business to ensure identified model risks are well understood and appropriate model risk mitigation actions implemented, escalating where necessary to the Senior Manager.
• Assist the Senior Manager to ensure all models covered by the team meet the requirement of the Enterprise Model Risk Management Framework,
• Assist the Senior Manager to ensure all models covered by the team are vetted and approved or issued an exception based on quality assurance to protect the bank from unjustified, undue, and unidentified risks due to the use of the models
• Assist the Senior Manager and work with Model Governance to ensure all AML models conditions are monitored and communicated with model owners on a timely basis to ensure the conditions are fulfilled in time.

Operational (5%)

• Assist the Senior Manager to ensure regular review process is followed, model conditions are monitored and fulfillment of conditions are assess on a timely basis
• Support the Senior Manager for the optimal operation of the team, including identifying and implementing improvements to work, processes, and systems to ensure operational effectiveness and compliance with all bank and external regulatory, corporate policy, and governance requirements

Assist the Senior Manager and Director of the AML & Fraud Model Validation (MV) team with enterprise-wide management of model risk so that the bank is not subject to unjustified (in a risk vs. return framework), undue, and unidentified risks due to the use of models and promoting the transparency and understanding of models and model risks used across the Bank in AML & Fraud areas. The mandate of this position is summarized as follows:

•  Effectively identify risks associated with models; timely, accurately and independently assess models used in the areas of responsibility; and tactfully provide the recommendations to model owners and users to mitigate the risks
•  Assist the Senior Manager to develop/continuously enhance model validation methodology; and conduct validation
•  Ensure that the models (development, documentation, usage, etc.) in AML, Fraud, Marketing and AI/ML areas are compliant with the Bank’s Enterprise Model Risk Framework, and are compliant with OSFI/FRB/OCC’s requirement
•  Provide advisory support to large-scale projects as required and other work streams as appropriate and requested to ensure that bank’s models are in line with industry best practice
•  Support the Senior Manager in the development and execution of overall work plan

Knowledge:

• Hands-on experience and advanced knowledge in AML or Fraud models (transaction monitoring, Watchlist Screening, Customer Risk Rating, credit card fraud, mar) etc.
• Good knowledge and relevant training in data mining, machine learning, and statistical analysis techniques, with minimal 3 years of demonstrated experience pertaining to AML/Fraud or machine learning, statistical modeling.
• In-depth knowledge of financial industry best practices
• Good knowledge of regulatory requirements on AML models; experience in regulatory matters as an asset
• Minimum: Master’s Degree, PhD. preferred in a quantitative field e.g., Mathematics, Computer Science, Statistics and Engineering.
• AML Designation such as CAMS, ACAMS preferred

Skills:

• Detail-oriented, analytical, well organized, highly self-motivated and good interpersonal skills
• Effective time management in order to efficiently deliver concurrent projects with competing priorities
• Good ability of conflict-solving; and ability to collaboratively work with model owner/sponsor counterparts
• Effective presentation and communication skills; Ability to convey complex concepts and outcomes to non-subject matter experts.
• Proficiency in computing development skills, particularly statistical and database modeling tools (Python, SAS, R, SQL, Matlab, Access/VBA etc.). Ability to adapt to various programming languages and environments. Advanced SAS proficiency is required

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

We are looking for you, if you:

• have a quantitative degree and experience in Data Analytics,

• are a Risk professional with hands-on Risk Reporting experience in SAS MRM tool, Python coding or equivalent custom tools/products,

• have automation experience in Python/VBA

• have experience in quantitative analysis, report design and execution,

• you are design thinking and process oriented person ready to contribute in reporting landscape improvement changes

• Data Quality governance and monitoring experience

• Ensure features delivery (Planning, coordination, dependencies management):

  • you are and feel responsible for the end-to-end integration and realization of the solution change delivery work (across teams). You oversee progress and coordinate the dependencies and address impediments across the whole chain,

  • you identify (and manage) risks and potential issues and offer improvements across teams,

  • you identify and manage dependencies for features and epics across different teams.

• Ensure complex Model Risk Management initiatives are translated into business requirements, specifically requirements for reporting measures to enhance MoRM steering mechanism:

  • you are able to translate new procedures, reporting needs into required model inventory solution and requirements,

• are results-oriented, committed to high standards and quality of work,

• have an excellent English verbal and writing skills,

• are a good listener and interviewer, receptive to the feedback from the stakeholders,

• are prepared to travel occasionally,

• have strong analytical and problem-solving capabilities,

• You can communicate effectively with both peers and senior stakeholders

• are transparent, open-minded and value diversity and inclusion.

• In-depth knowledge of Model Risk Management Framework principles

You'll get extra points for:

• Agile environment experience

• Operational agile in Power BI or other data visualization platforms

• you think and act globally and grasp business opportunities or identify pain points to be addressed

• you highlight correlation and dependencies between squads within different parts of the organization

• Have strong project management skills to lead long term initiatives under a program setup

• Have strong stakeholder management skills, including experience managing communication and influencing senior stakeholders. Good listener and interviewer, receptive to the feedback from the stakeholders

• are enthusiastic, communicative, flexible and you are an excellent team player.

Your responsibilities:

• Design, develop, and implement model risk reporting measures, including enhancements to existing metrics

• Leading and contribution in workgroup, streams for project execution

• Knowledge sharing with reporting process contributors

• Propose reporting enhancements and reporting function capabilities increase

• Preparation, execution, and analysis of model inventory landscape reports

• Contribute to the ING entities efforts in responding and reporting to regulatory bodies, collecting requirements for designing dashboards and reporting tools

• Support/Guide local model community in execution of the model life cycle activities and steering model risk measures at portfolio level

• Data quality assurance contribution within global model data inventory, by monitoring execution through reporting process

• Performing an in-depth model risk metrics analysis and reporting

• Active collaboration and assistance with model risk inventory enhancements

Information about the chapter:

Model Risk Oversight (MRO) is responsible for the design and implementation of ING’s global Model Risk Management (MoRM) framework and tooling across all models used within ING Bank worldwide. The tribe aims to proactively manage model risks by guiding global and local communities in the execution of the model lifecycle activities, performing effective and efficient 2nd Line of Defence (LoD) challenge and oversight across ING’s model landscape, monitoring and reporting on model risks. MRO is an energetic, international team of highly qualified Model Risk Experts, Business Analysts, and Data Analysts/Programmers. MRO is developing and rolling out the new Model Risk Management (MoRM) framework which scope covers all models used within ING Bank worldwide. To further strengthen and manage the model risk management activities, MRO expands within Risk Hub of ING Hubs Poland. The Risk Hub Model Risk Oversight Chapter supports/guides global and local model communities in execution of the model life cycle activities, together with Global MRO team facilitates oversight, monitoring model risk, assessing and governing model inventory data quality, and reporting for global/local entities. We are looking for Model Risk Experts to support Model Risk Management by enhancing steering mechanisms, extending reporting capabilities and contribute to various framework related projects. At ING Hubs Poland and ING Group we follow the Agile approach and mindset. We are innovative and we trust people we work with.

The expected salary for this position: 9 600 - 18 000 PLN gross monthly

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

About the role:

PwC is rapidly scaling its market leading Responsible AI (RAI) practice in the UK as client demand accelerates across sectors. As a Manager in our RAI team, you will lead workstreams that help organisations design, build and deploy AI that is trusted, ethical and compliant. You will work at the intersection of emerging technology, risk management and regulation, supporting clients to operationalise AI governance, implement practical controls and embed “trust by design” across the AI lifecycle, including GenAI and agentic AI. This new role supports our growing practice and offers strong opportunities for rapid progression.

What your days will look like:

We are seeking a Manager to lead client workstreams that ensure AI is developed and deployed ethically, safely and in line with emerging regulation. This role sits at the intersection of technology, governance and risk, offering the opportunity to shape how organisations build trust in AI and accelerate responsible adoption.

• Lead RAI client engagements, supporting clients to establish governance, operating models, policies and controls for AI at scale.

• Assess AI use cases and development practices to identify gaps (e.g., governance, bias/fairness, transparency, privacy, security) and recommend pragmatic improvements.

• Translate Responsible AI principles and regulatory expectations into actionable delivery guidance across the AI and product lifecycle.

• Produce or oversee key artefacts such as AI risk assessments, governance documentation, model testing outputs (bias/robustness/explainability), and evidence packs for assurance/audit.

• Collaborate with data science, engineering and cyber teams to implement technical guardrails, monitoring and incident processes for AI systems (including GenAI).

• Contribute to model evaluations and control design (e.g., explainability, robustness, fairness, human oversight, monitoring/observability).

• Manage delivery quality, plan and run client workshops, and communicate complex AI risks and mitigations clearly to technical and non-technical stakeholders.

• Contribute to a rapidly growing, high profile practice with strong opportunities for progression.

This role is for you if:

• You have worked in consulting, technology, risk or transformation roles for 5+ years, with experience leading workstreams and managing stakeholders

• Experience supporting AI governance, model risk, data governance, compliance, assurance, or technology risk, ideally with exposure to Responsible AI concepts (fairness, transparency, accountability, privacy, safety).

• Regulatory and standards awareness: Working knowledge of relevant regulation and frameworks (e.g., EU AI Act trajectory, GDPR, NIST AI RMF, ISO/IEC 42001).

• Analytical problem solving: Comfortable working with technical topics and evidence (model documentation/testing, controls, monitoring), with strong structured thinking and attention to detail.

• Communication: Strong written and verbal communication; able to translate technical issues into clear business implications and recommendations.

• GenAI exposure: Familiarity with GenAI/LLM risks and mitigations (e.g., guardrails, prompt/design controls, monitoring, human-in-the-loop) is preferred

What you’ll receive from us:

No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. ​

​

We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more. 

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

About the role:

PwC is rapidly expanding its market leading Responsible AI (RAI) practice in the UK to meet fast growing client demand across all sectors. As a Senior Manager and Responsible AI Solution Architect, you will shape and deliver PwC’s Responsible AI, Ethics, Security and Trust agenda. You will lead the architecture and delivery of trusted AI solutions across GenAI and agentic platforms, working at the intersection of engineering, cyber, data, model risk and regulatory compliance. You will help clients move from principles to production by designing secure, governed and observable AI systems. This role offers the opportunity to influence how some of the UK’s largest organisations adopt AI responsibly through technical design leadership, assurance-by-design, and scalable governance patterns. 

What your days will look like:

As a Senior Manager and Responsible AI Solution Architect, you will lead the design and delivery of trusted, secure and compliant AI systems across GenAI and emerging agentic platforms. Working across engineering, cyber, data governance and model risk, you will translate Responsible AI principles and regulatory requirements into production ready architectures. This is a hands on technical leadership role shaping how major organisations build, validate and scale AI safely.

• Architect end-to-end AI / GenAI / agentic solutions (from data and identity through model integration, orchestration, deployment, monitoring and incident response), embedding PwC’s “Trust by Design” architecture patterns to ensure systems are secure, governed, transparent and resilient.

• Develop and mature PwC’s “Trust by Design” reference architectures and patterns for GenAI and agentic AI, embedding: safety and policy controls (guardrails, content safety, prompt-hardening),

• transparency and auditability (logging, traceability, lineage), privacy and security controls (data minimisation, encryption, key management), and human-in-the-loop and escalation mechanisms.

• Translate regulatory, policy, privacy and ethical requirements into concrete technical controls embedded across: SDLC and secure-by-design practices, data lifecycle and data governance, model lifecycle (training, fine-tuning, evaluation, release, monitoring).

• Partner with cyber and resilience specialists to advance AI threat modelling, prompt injection and data exfiltration mitigations, adversarial testing, and model assurance approaches.

• Define and lead AI assurance strategies across testing, validation, monitoring and control effectiveness across classical ML and GenAI.

This role is for you if you have:

• Deep expertise in Responsible AI principles and operating models, including design or assessment of governance/control frameworks aligned to recognised standards (e.g., NIST AI RMF, ISO/IEC 42001).

• Strong understanding of UK/EU AI regulatory landscape (including EU AI Act), data protection, model risk concepts, and AI ethics.

• Proven experience as a solution architect / technical architect designing and implementing enterprise-grade AI systems.

• Strong understanding of GenAI architectures (RAG, tool use, function calling, agents, orchestration patterns), including failure modes and risk controls.

• Hands-on or architecture-level experience with cloud AI platforms and services, ideally across Azure (e.g., Azure AI / Azure OpenAI, Prompt Flow, AML, Purview, Sentinel), AWS (e.g., Bedrock, SageMaker, IAM/KMS, CloudWatch), and other common data platforms, API management, and identity/access patterns.

• Familiarity with AI enabling technologies and ecosystems: vector databases, embedding pipelines, feature stores, model registries, prompt/trace observability, CI/CD for ML/LLM systems. 

• Demonstrated ability to design and lead testing and validation approaches for AI systems, including GenAI safety testing, adversarial testing/red teaming, monitoring and incident management.

• Working knowledge of emerging methods such as fine-tuning (e.g. parameter-efficient approaches), evaluation harnesses, and measurement of risk/quality.

What you’ll receive from us:

No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. ​

​

We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more. 

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

About the role:

PwC is rapidly expanding its market leading Responsible AI (RAI) practice in the UK to meet fast growing client demand across all sectors. As a Senior Manager and Responsible AI Solution Architect, you will shape and deliver PwC’s Responsible AI, Ethics, Security and Trust agenda. You will lead the architecture and delivery of trusted AI solutions across GenAI and agentic platforms, working at the intersection of engineering, cyber, data, model risk and regulatory compliance. You will help clients move from principles to production by designing secure, governed and observable AI systems. This role offers the opportunity to influence how some of the UK’s largest organisations adopt AI responsibly through technical design leadership, assurance-by-design, and scalable governance patterns. 

What your days will look like:

As a Senior Manager and Responsible AI Solution Architect, you will lead the design and delivery of trusted, secure and compliant AI systems across GenAI and emerging agentic platforms. Working across engineering, cyber, data governance and model risk, you will translate Responsible AI principles and regulatory requirements into production ready architectures. This is a hands on technical leadership role shaping how major organisations build, validate and scale AI safely.

• Architect end-to-end AI / GenAI / agentic solutions (from data and identity through model integration, orchestration, deployment, monitoring and incident response), embedding PwC’s “Trust by Design” architecture patterns to ensure systems are secure, governed, transparent and resilient.

• Develop and mature PwC’s “Trust by Design” reference architectures and patterns for GenAI and agentic AI, embedding: safety and policy controls (guardrails, content safety, prompt-hardening),

• transparency and auditability (logging, traceability, lineage), privacy and security controls (data minimisation, encryption, key management), and human-in-the-loop and escalation mechanisms.

• Translate regulatory, policy, privacy and ethical requirements into concrete technical controls embedded across: SDLC and secure-by-design practices, data lifecycle and data governance, model lifecycle (training, fine-tuning, evaluation, release, monitoring).

• Partner with cyber and resilience specialists to advance AI threat modelling, prompt injection and data exfiltration mitigations, adversarial testing, and model assurance approaches.

• Define and lead AI assurance strategies across testing, validation, monitoring and control effectiveness across classical ML and GenAI.

This role is for you if you have:

• Deep expertise in Responsible AI principles and operating models, including design or assessment of governance/control frameworks aligned to recognised standards (e.g., NIST AI RMF, ISO/IEC 42001).

• Strong understanding of UK/EU AI regulatory landscape (including EU AI Act), data protection, model risk concepts, and AI ethics.

• Proven experience as a solution architect / technical architect designing and implementing enterprise-grade AI systems.

• Strong understanding of GenAI architectures (RAG, tool use, function calling, agents, orchestration patterns), including failure modes and risk controls.

• Hands-on or architecture-level experience with cloud AI platforms and services, ideally across Azure (e.g., Azure AI / Azure OpenAI, Prompt Flow, AML, Purview, Sentinel), AWS (e.g., Bedrock, SageMaker, IAM/KMS, CloudWatch), and other common data platforms, API management, and identity/access patterns.

• Familiarity with AI enabling technologies and ecosystems: vector databases, embedding pipelines, feature stores, model registries, prompt/trace observability, CI/CD for ML/LLM systems. 

• Demonstrated ability to design and lead testing and validation approaches for AI systems, including GenAI safety testing, adversarial testing/red teaming, monitoring and incident management.

• Working knowledge of emerging methods such as fine-tuning (e.g. parameter-efficient approaches), evaluation harnesses, and measurement of risk/quality.

What you’ll receive from us:

No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. ​

​

We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more. 

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

Address:

Seeking a skilled and experienced professional to join our Model Risk Management Team as a Senior Analyst, Model Risk, Credit Risk. As a senior analyst in our second line of defense risk management, governance, and control function, you will play a pivotal role in the validation of credit risk models, such as Allowance (IFRS 9 /CECL/loss forecasting) models, Stress Testing (CCAR/EWST), operational risk, climate risk models and other initiatives. Other activities related to the model lifecycle such as model performance monitoring, annual reviews, assessment of overlay quantification are also part of the validation responsibilities. Experience in other credit risk families, such as credit adjudication and account management models, is also relevant. This is an individual contributor role.

Key Role Responsibilities:

• Model Risk Review and Effective Challenge: You perform the validation of models, other estimation approaches and critical tool calculators and assess the model risk to confirm model appropriateness and capability for a designated portfolio. You are responsible for providing effective challenge to the credit risk models during model development and communicating decisions regarding model use to the business to ensure transparency and understanding of models and model risks. You assess the models’ capabilities, stress points and limitations; you assess the associated model risk and the controls in place to mitigate identified risks.
• Stakeholder Engagement: Effective communication is crucial in this role. You will manage relationships with model developers, owners, and users, influencing and advising on model risk-related matters. Your ability to explain complex technical concepts in everyday language will set you apart.
• Change Management: BMO is at the forefront of innovation in model risk management. You will be part of the team that drives change by embracing new technology platforms, tools, and operating models.
• Regulatory Expertise: Acts as a subject matter expert on relevant regulations and policies. May network with industry contacts to gain competitive insights and best practices. Interprets new regulations and assesses impacts to the program / portfolio validation framework.
• Risk Understanding: You will need to connect the dots between technical issues and business considerations.

What we are looking for:

• A MSc or PhD in quantitative fields such as statistics, applied mathematics, financial mathematics, data science, actuarial sciences, electrical engineering, or related fields.
• Experience in model validation and/or development within a financial institution, particularly in the credit risk area, is a plus.
• Certifications: While qualifications like CFA are helpful, they are not mandatory.
• Experience in credit risk models, including Stress Testing & loss forecasting, AIRB and Adjudication/Account Management is a plus.
• Proficiency in a programming language such as Python, R, and SAS (Python is preferred).
• Proficiency in working with relational databases – SQL or Oracle.
• Working with Big data tools and Cloud platforms (AWS/Azure) is a plus.
• A can-do attitude and a research, deep-dive mindset.

Our team values flexibility, collaboration and in-person engagement. This position is located in Toronto and offers flexibility with a hybrid work arrangement where the successful candidate will spend at least 3 days per week on-site and the other days remote.

Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio. Provides effective challenge during model development and communicates decisions regarding model use to the business to ensure transparency and understanding of models and model risks. Assesses model’s capabilities, stress points and limitations; assesses the associated model risk and the controls in place to mitigate identified risks.

• Shares technical knowledge of models and validation strategies with team members and stakeholders.
• Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
• Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
• Troubleshoots model validation issues with team members and stakeholders.
• Leads or assists with the maintenance, monitoring, measurement & reporting on the status of the model validation portfolio / program to various internal & external stakeholder audiences.
• Supports the development and promotion of a business/group program for model validation.
• Develops validation strategies and plans to ensure appropriate type and level of vetting of models is carried out.
• Independently validates / tests models and their associated assumptions, benchmarks, and supporting documentation against model vesting process, standards, guidelines and principles; assesses the data for model development as well as inputs to the model; compares validation results with model developer results for replicability.
• Identifies deficiencies, conditions for model use, recommends changes, and escalates as required; quantifies model risks, documents outcomes and communicates with stakeholders.
• Identifies where corrective actions are required and escalates per guidelines; monitors and ensures corrective action is taken.
• Provides technical advice and guidance to assigned business/group on implementation of the model vetting framework, and resolution of model risk issues.
• Develops and maintains in-depth knowledge of business and related risk management requirements and legislative/ regulatory directives and guidance.
• Builds effective relationships with internal/external stakeholders.
• Ensures alignment between stakeholders.
• Monitors and tracks performance; addresses any issues.
• Coordinates and monitors the review and sign-off of model validation reporting including model inventory and model inventory attestations.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently on a range of complex tasks, which may include unique situations.
• Broader work or accountabilities may be assigned as needed.

  Qualifications:

• Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Knowledge and understanding of the model life cycle, model risk management practices.
• In-depth knowledge & experience with risk policy frameworks; quality control / testing frameworks.
• Technical proficiency gained through education and/or business experience.
• Verbal & written communication skills - In-depth.
• Collaboration & team skills - In-depth.
• Analytical and problem solving skills - In-depth.
• Influence skills - In-depth.
• Data driven decision making - In-depth.

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you’ll have access to competitive benefits including a fresh perspective on workplace flexibility.
 

Position Purpose:
Ensures AI applications, products, and solutions adhere to established company policies, regulatory requirements, and industry best practices. Conducts compliance assessments, performs risk evaluations, and reviews and assesses AI systems to identify potential issues both before and after deployment. The incumbent works closely with AI development teams, data scientists, and business stakeholders to support responsible AI practices while documenting findings and recommendations in clear, evidence based, and actionable reports.

• Performs compliance reviews of AI applications and products to assess alignment with internal policies, governance standards, and standard operating procedures, including verification of required documentation, approvals, and controls prior to production deployment.

• Conducts structured risk assessments of AI systems across their lifecycle, identifying and documenting risks related to bias, privacy, security, safety, model behavior, and regulatory non compliance; evaluate risk likelihood, impact, and adequacy of mitigation controls.

• Reviews model development practices, data handling procedures, deployment controls, and technical artifacts (e.g., model cards, system architecture documentation) to identify compliance gaps and discrepancies between documented capabilities and actual system behavior.

• Investigates AI system incidents, complaints, or governance concerns by analyzing system behavior, data flows, and decision logic; document investigative methods, evidence reviewed, and conclusions reached.

• Conducts hands on testing and probing of AI systems to validate documented claims regarding performance and behavior, and support ongoing monitoring of deployed systems.

• Tracks compliance and risk findings, remediation actions, and residual risk through maintained risk registers and supporting documentation; verify corrective actions are implemented and documented.

• Partners with AI development teams, product owners, and subject matter experts to gather information for assessments and investigations, and prepare clear findings, executive summaries, and recommendations for leadership and governance stakeholders.

• Monitors trends in compliance and risk findings to identify systemic issues and support continuous improvement of AI governance practices; stay current with evolving AI regulations, standards, and industry best practices.

• Performs other duties as assigned.

• Complies with all policies and standards.

Education/Experience:
Bachelor's Degree Information Systems, Risk Management, Compliance, Data Science, or a related field or equivalent experience required. Master's Degree preferred

Technical Skills:

• 3+ years progressively responsible experience in compliance, risk assessment, audit, or quality assurance, preferably supporting technology or AI enabled systems required

• Working knowledge of AI and machine learning concepts, including supervised learning, generative AI, and model evaluation approaches required

• Demonstrated ability to analyze technical documentation, identify compliance and risk issues, and gather supporting evidence required

• Experience supporting risk assessments and drafting findings with actionable recommendations required

• Understanding of the AI lifecycle as defined by NIST preferred

• Proven track record creating and maintaining thorough documentation required

Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules.  Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status.  Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.

Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

Job Description

Purpose of the role

To validate and approve models for specific usages both at inception and on a periodic basis, and of model changes, as well as conducting annual reviews. 

Accountabilities

• Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models.
• Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses.
• Assessment of any compensating controls used to mitigate Model risk.
• Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement.
• Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning.
• Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as a Model Validation AVP, where you will validate and approve risk models at inception, during usage changes, and through periodic and annual reviews. This role operates within the risk function and focuses primarily on retail credit models including credit cards and loan portfolios. You will independently review model documentation, perform testing and analysis, and clearly report findings to demonstrate model soundness and regulatory alignment. This role offers broad exposure across multiple model types and high impact validation work.

To be successful as a Model Validation AVP, you should have:

• Experience in risk model validation, model development, or quantitative modeling within financial services

• Experience validating retail credit risk models such as credit cards and consumer loans

• Understanding of model risk management frameworks, governance, and regulatory expectations

Some other highly valued skills may include:

• Ability to perform detailed analysis, testing, and independent challenge of models

• Written communication skills with experience producing clear and thorough validation documentation

• Quantitative discipline preferred

You may be assessed on key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based out of Wilmington, DE.

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description:

Financial Crime Model Validation Manager

The Financial Crime Model Validation Manager is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk assessment/rating, fraud detection and watchlist screening/interdiction systems.

Responsibilities will include designing and/or updating testing strategies (e.g., creation of or enhancement to risk and control matrices) which will aid in the independent testing of these systems. Testing could include control conceptual design testing, control operating effectiveness testing, and/or issue validation testing. Candidates will be required to execute analytical projects working closely with senior stakeholders and clients to deliver value to financial institution clients.

• Testing in the Model Validation domain will include:
• Review of model governance, including processes surrounding their effectiveness
• Critical challenge of model design and development
• Testing of data inputs, including data quality issues, data mapping, ETL processes, balancing and reconciliation controls, data lineage, throughput, and backtesting
• Testing that the model logic is working as intended
• Assessment of model user access controls, key performance indicators (KPIs), and alert review processes
• Evaluation of model performance, including tuning and sanctions sensitivity testing
• Documentation of testing using standardized work papers and model validation reports and other client deliverables
• Engagement Management: provide oversight and guidance to the testing team for efficient engagement delivery, maintain engagement budget, provide timely reporting of engagement progress to the client and engagement executive.

Qualifications:

• Bachelor's and/or advanced degree with a concentration in Data Management or Analytics; Finance; Computer Science, Management Information Systems, or Statistics/Mathematics.
• 4+ years of experience within the Financial Crime industry.
• 4+ years of model validation, AML system implementation, data lineage, or quality testing experience.
• Basic knowledge of the software development lifecycle.
• Demonstrated experience with data analysis, business analysis, and data validation, activities with financial services institutions.
• Demonstrated experience with performing independent testing on models, including an understanding of risks/controls and experience documenting testing within workpapers.
• Experience executing model validations of financial crime systems, including but not limited to: Verafin, Actimize, BAM/BAM+, YellowHammer, FCRM, FinanSeer, FiServ, Lexis Nexis Bridger, FircoSoft, Quantexa, Palantir, Accuity, RDC, and others.
• Demonstrated experience and knowledge of banking and compliance systems.
• Demonstrated experience working in a results-driven environment within a team environment.
• Strong organizational, interpersonal, and presentation skills.
• Ability to actively engage with stakeholders to collect information, and issues, and make recommendations for business and process improvements.
• Highly effective verbal and written communication skills and the ability to interact with all levels of management.
• Strong teamwork, communication, and customer service skills.
• Strong analytical, attention to detail, organizational, and core project management skills.
• Possesses knowledge of the challenges of data cleansing and integration.
• Ability to work with IT and business personnel.
• Travel as required by client needs.

Preferred:

• Prior professional services/consulting firm experience
• Experience with data extraction and analysis tools such as SQL/Python.
• Experience with visualizing and communicating analytical results using technologies such as Tableau, Power BI, Cognos, QlikView, Spotfire, and D3

#LI-JB1 #FinancialCrime #GoCrowe

We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.

Our Benefits:
Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!

How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!

More about Crowe:
Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.

Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.

Crowe LLP does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.

Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.

If you are interested in applying for employment with Crowe and are in need of an accommodation or require special assistance to navigate our website or to complete your application, please visit our Applicant Assistance and Accommodations page for more information: https://careers.crowe.com/crowe-applicant-assistance-and-accommodation

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary
This is a highly technical individual contributor role. The Distinguished Engineer is expected to serve as a technical authority and trusted advisor for AI security and related infrastructure security domains.

This role is expected to dedicate significant time to hands-on engineering, including building reusable security patterns, reference architectures, and proof-of-concept implementations for AI systems and the platforms that support them. In parallel, the role provides expert governance, architectural guidance, and technical oversight to ensure secure, scalable, and compliant AI adoption across the enterprise.

The Distinguished Engineer will work closely with cross-functional partners to embed security into the AI lifecycle—from data and model development through deployment and operations—while helping shape enterprise strategy and standards based on real-world engineering outcomes.

Key Responsibilities

AI Security Leadership (Primary Focus)
• Define and help execute the enterprise AI security strategy, spanning secure model selection, development, and deployment criteria, adversarial threat mitigation, and alignment with emerging AI governance requirements.
• Design, build, and maintain reusable AI security frameworks, reference patterns, and technical standards for model integrity, secure data pipelines, and privacy-preserving machine learning.
• Perform hands-on security assessments of AI systems, identify risks, and provide mitigation guidance based on AI security posture management and detection findings.

• Drive innovation in AI security techniques, controls, and tooling through applied research and practical implementation.
• Apply and guide the application of AI security frameworks such as MITRE ATLAS, NIST RMF, and emerging ISO/IEC AI standards to secure the end-to-end AI lifecycle.

Infrastructure Security Expertise (Secondary Focus)
• Apply Zero Trust principles to hybrid and cloud infrastructure environments supporting AI workloads, including workload identity, segmentation, and continuous verification.
• Partner closely with Enterprise Architecture and Platform Engineering to integrate AI security controls into infrastructure design patterns and shared services.
• Guide and, where appropriate, directly implement security capabilities across on-premises and cloud platforms to ensure consistent protection for AI and traditional systems.

Strategic Engineering Responsibilities
• Hands-on Engineering & Prototyping: Design and build proof-of-concept solutions, reference implementations, and reusable components to validate AI security and infrastructure security approaches. Provide ongoing technical support to teams implementing enterprise patterns and components.
• Framework and Pattern Development: Architect repeatable security patterns and guardrails that can be adopted by data science, engineering, and platform teams.
• Technology Evaluation: Research emerging AI and infrastructure security technologies to assess enterprise applicability and maturity. Ensure that enterprise components and solution architectures leverage the best commercial and open-source software and services available, and that the resulting AI security stack is minimally complex and massively scalable and economic.
• Technical Innovation: Translate emerging threats, research, and regulatory guidance into practical, actionable engineering solutions.

Governance, Advisory, and Oversight Responsibilities
• Provide expert design reviews and technical oversight for AI systems, platforms, and infrastructure architectures.
• Define and evolve AI security and infrastructure security standards in partnership with governance stakeholders.
• Advise on security-related business cases and strategic investments for AI platforms and capabilities.
• Serve as a trusted advisor and mentor to security, platform, and engineering teams on AI security best practices.
• Advise on enterprise response to emerging AI security threats.

Cross Functional-Functional Collaboration & Stakeholder Engagement
This role collaborates closely with key partners across the organization, including but not limited to:
• Data Science & Machine Learning Engineering: Embedding security into model development, evaluation, and deployment workflows.
• Platform, Cloud, and Infrastructure Engineering: Securing AI platforms, pipelines, and runtime environments.
• Legal, Privacy, and Compliance: Ensuring alignment with regulatory, privacy, and contractual requirements for AI systems and data usage.
• Enterprise Architecture: Aligning AI security patterns with broader enterprise technology and architecture standards.
• Risk Management and Audit: Supporting risk assessments, control validation, and audit readiness for AI-enabled systems.
• Application Development / Application Security: Partner with Application Security to provide technical support and guidance to embed security in AI development pipelines.

Additional Strategic and Leadership Responsibilities
• Set and guide technical direction for AI security and adjacent infrastructure security domains based on hands-on engineering insight.
• Influence enterprise technology strategy for secure AI adoption through thought leadership and practical guidance.
• Contribute to industry and internal thought leadership through publications, presentations, patents, or standards.
• Influence key technology partners and solution providers to ensure that their solutions comply with CVS Health AI Security standards.

Required Qualifications
• AI Security Frameworks: MITRE ATLAS, NIST RMF, ISACA AI Audit Toolkit, and emerging ISO/IEC AI security standards.
• AI Technologies: Expert conceptual and hands-on implementation knowledge of core ML and generative AI technologies including transformer-based NLP, LLM-based generative AI and agentic AI.
• AI Risk Management & Model Security: Threat modeling, adversarial defenses, model lifecycle security, and vulnerability management.
• Data Privacy & Protection: Privacy-enhancing technologies (PETs), secure data handling patterns, and regulatory alignment (e.g., HIPAA, GDPR).
• Infrastructure Security: Zero Trust architectures, secure AI pipelines, and cloud-based GenAI platform controls.
• Governance & Compliance: Policy development, risk indicators, regulatory interpretation, and audit support for AI systems.
• Leadership & Collaboration: Ability to influence engineering, legal, privacy, and business stakeholders.

Required Experience
• 15+ years of AI experience, including significant depth in advanced technical or architectural roles.
• 5+ years of cybersecurity experience defining and integrating security standards and controls that aligned to established frameworks such as NIST CSF.
• Deep expertise in AI security concepts such as adversarial ML, secure model deployment, AI agent authorization, AI data loss protection, AI safety, and AI risk management.
• Strong background in Zero Trust architecture and hybrid infrastructure security.
• Demonstrated ability to lead and influence large-scale, cross-functional security initiatives.
• Hands-on experience building, deploying, and securing AI systems and platforms in enterprise environments.
• Practical experience applying AI security and risk management frameworks in real-world engineering contexts.

Preferred Qualifications
• CISSP and/or CISM preferred.
• AI security, cloud security, or data protection–focused certifications are a plus.

Education

• Bachelor’s degree in Computer Science, Cybersecurity, or a related technical field required.
• Master’s degree in AI, Machine Learning, Cybersecurity, or a related discipline strongly preferred.

Pay Range

The typical pay range for this role is:

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.  This position also includes an award target in the company’s equity award program. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are looking for you, if you:

• have a quantitative degree and experience in Data Analytics,

• are a Risk professional with hands-on Risk Reporting experience in SAS MRM tool, Python coding or equivalent custom tools/products,

• have automation experience in Python/VBA

• have experience in quantitative analysis, report design and execution,

• you are design thinking and process oriented person ready to contribute in reporting landscape improvement changes

• Data Quality governance and monitoring experience

• Ensure features delivery (Planning, coordination, dependencies management):

  • you are and feel responsible for the end-to-end integration and realization of the solution change delivery work (across teams). You oversee progress and coordinate the dependencies and address impediments across the whole chain,

  • you identify (and manage) risks and potential issues and offer improvements across teams,

  • you identify and manage dependencies for features and epics across different teams.

• Ensure complex Model Risk Management initiatives are translated into business requirements, specifically requirements for reporting measures to enhance MoRM steering mechanism:

  • you are able to translate new procedures, reporting needs into required model inventory solution and requirements,

• are results-oriented, committed to high standards and quality of work,

• have an excellent English verbal and writing skills,

• are a good listener and interviewer, receptive to the feedback from the stakeholders,

• are prepared to travel occasionally,

• have strong analytical and problem-solving capabilities,

• You can communicate effectively with both peers and senior stakeholders

• are transparent, open-minded and value diversity and inclusion.

• In-depth knowledge of Model Risk Management Framework principles

You'll get extra points for:

• Agile environment experience

• Operational agile in Power BI or other data visualization platforms

• you think and act globally and grasp business opportunities or identify pain points to be addressed

• you highlight correlation and dependencies between squads within different parts of the organization

• Have strong project management skills to lead long term initiatives under a program setup

• Have strong stakeholder management skills, including experience managing communication and influencing senior stakeholders. Good listener and interviewer, receptive to the feedback from the stakeholders

• are enthusiastic, communicative, flexible and you are an excellent team player.

Your responsibilities:

• Design, develop, and implement model risk reporting measures, including enhancements to existing metrics

• Leading and contribution in workgroup, streams for project execution

• Knowledge sharing with reporting process contributors

• Propose reporting enhancements and reporting function capabilities increase

• Preparation, execution, and analysis of model inventory landscape reports

• Contribute to the ING entities efforts in responding and reporting to regulatory bodies, collecting requirements for designing dashboards and reporting tools

• Support/Guide local model community in execution of the model life cycle activities and steering model risk measures at portfolio level

• Data quality assurance contribution within global model data inventory, by monitoring execution through reporting process

• Performing an in-depth model risk metrics analysis and reporting

• Active collaboration and assistance with model risk inventory enhancements

Information about the chapter:

Model Risk Oversight (MRO) is responsible for the design and implementation of ING’s global Model Risk Management (MoRM) framework and tooling across all models used within ING Bank worldwide. The tribe aims to proactively manage model risks by guiding global and local communities in the execution of the model lifecycle activities, performing effective and efficient 2nd Line of Defence (LoD) challenge and oversight across ING’s model landscape, monitoring and reporting on model risks. MRO is an energetic, international team of highly qualified Model Risk Experts, Business Analysts, and Data Analysts/Programmers. MRO is developing and rolling out the new Model Risk Management (MoRM) framework which scope covers all models used within ING Bank worldwide. To further strengthen and manage the model risk management activities, MRO expands within Risk Hub of ING Hubs Poland. The Risk Hub Model Risk Oversight Chapter supports/guides global and local model communities in execution of the model life cycle activities, together with Global MRO team facilitates oversight, monitoring model risk, assessing and governing model inventory data quality, and reporting for global/local entities. We are looking for Model Risk Experts to support Model Risk Management by enhancing steering mechanisms, extending reporting capabilities and contribute to various framework related projects. At ING Hubs Poland and ING Group we follow the Agile approach and mindset. We are innovative and we trust people we work with.

The expected salary for this position: 9 600 - 18 000 PLN gross monthly

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

About the role:

PwC is rapidly scaling its market leading Responsible AI (RAI) practice in the UK as client demand accelerates across sectors. As a Manager in our RAI team, you will lead workstreams that help organisations design, build and deploy AI that is trusted, ethical and compliant. You will work at the intersection of emerging technology, risk management and regulation, supporting clients to operationalise AI governance, implement practical controls and embed “trust by design” across the AI lifecycle, including GenAI and agentic AI. This new role supports our growing practice and offers strong opportunities for rapid progression.

What your days will look like:

We are seeking a Manager to lead client workstreams that ensure AI is developed and deployed ethically, safely and in line with emerging regulation. This role sits at the intersection of technology, governance and risk, offering the opportunity to shape how organisations build trust in AI and accelerate responsible adoption.

• Lead RAI client engagements, supporting clients to establish governance, operating models, policies and controls for AI at scale.

• Assess AI use cases and development practices to identify gaps (e.g., governance, bias/fairness, transparency, privacy, security) and recommend pragmatic improvements.

• Translate Responsible AI principles and regulatory expectations into actionable delivery guidance across the AI and product lifecycle.

• Produce or oversee key artefacts such as AI risk assessments, governance documentation, model testing outputs (bias/robustness/explainability), and evidence packs for assurance/audit.

• Collaborate with data science, engineering and cyber teams to implement technical guardrails, monitoring and incident processes for AI systems (including GenAI).

• Contribute to model evaluations and control design (e.g., explainability, robustness, fairness, human oversight, monitoring/observability).

• Manage delivery quality, plan and run client workshops, and communicate complex AI risks and mitigations clearly to technical and non-technical stakeholders.

• Contribute to a rapidly growing, high profile practice with strong opportunities for progression.

This role is for you if:

• You have worked in consulting, technology, risk or transformation roles for 5+ years, with experience leading workstreams and managing stakeholders

• Experience supporting AI governance, model risk, data governance, compliance, assurance, or technology risk, ideally with exposure to Responsible AI concepts (fairness, transparency, accountability, privacy, safety).

• Regulatory and standards awareness: Working knowledge of relevant regulation and frameworks (e.g., EU AI Act trajectory, GDPR, NIST AI RMF, ISO/IEC 42001).

• Analytical problem solving: Comfortable working with technical topics and evidence (model documentation/testing, controls, monitoring), with strong structured thinking and attention to detail.

• Communication: Strong written and verbal communication; able to translate technical issues into clear business implications and recommendations.

• GenAI exposure: Familiarity with GenAI/LLM risks and mitigations (e.g., guardrails, prompt/design controls, monitoring, human-in-the-loop) is preferred

What you’ll receive from us:

No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. ​

​

We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more. 

BANC OF CALIFORNIA AND YOUR CAREER

Banc of California, Inc. (NYSE: BANC) is a bank holding company with over $34 billion in assets and the parent company of Banc of California. Banc of California is one of the nation’s premier relationship-based business banks, providing banking and treasury management services to small, middle market, and venture backed businesses. As the largest independent bank headquartered in California, the bank offers a broad range of loan and deposit products and services through a network of full-service branches and regional offices, as well as through digital and nationwide capabilities. The bank also provides full-service payment processing solutions to its clients and serves the Community Association Management industry nationwide through its technology forward platform, SmartStreet™. Banc of California is committed to supporting its local communities through the Banc of California Charitable Foundation and by partnering with organizations that promote financial literacy, job training, small business support, affordable housing, and more. 

At Banc of California, our success is powered by our people and a shared commitment to delivering meaningful results. We foster an environment where entrepreneurial thinking is encouraged, and accountability and operational excellence are expected. Our team members are empowered to take ownership, make informed decisions, and make a meaningful impact as the bank continues to grow and evolve. We are dedicated to supporting your growth and wellbeing through comprehensive benefits, robust development opportunities, and inclusive programs that enable you to perform at your best. Together we win!

THE OPPORTUNITY

The Vice President, Model Validation is responsible for assisting the Bank’s Model Risk Management with its framework and standards, model inventory, model risk assessment, model validation and model governance. Performs all duties in accordance with the Company’s policies and procedures, all U.S. state and federal laws and regulations, wherein the Company operates

HOW YOU’LL MAKE A DIFFERENCE

• Conduct model validations on the Bank’s models, both in-house and vendor models, based on regulatory guidelines, the Bank’s model risk management policy and procedure, and the industry’s leading practices.
• Evaluate model assumptions and weaknesses, data relevancy and completeness, conceptual soundness, modeling methodology, outcome analysis, etc. 
• Prepare a model validation report that meets the Model Risk Management’s expectations, based on the evaluation of the model, including backtesting, sensitivity testing, benchmarking, etc. and include a conclusion based on the review.
• Assist in model validation findings monitoring, reporting, and evaluating the corrective actions.
• Conduct model annual reviews including process verification, performance monitoring, degree of changes, etc. and document the findings and comments in the annual review report. 
• Support senior managers to communicate findings and recommendations from model validation report to model owners and model users. 
• Work closely with model owners and model users to understand the model use and business applications.
• Review on-going model monitoring report, identify potential model risks; document the findings
• Treat people with respect; keep commitments; inspire the trust of others; work ethically and with integrity; uphold organizational values; accept responsibility for own actions.
• Demonstrates knowledge of and adherence to EEO policy; shows respect and sensitivity for cultural differences; educates others on the value of diversity; promotes working environment free of harassment of any type; builds a diverse workforce and supports affirmative action.
• Follows policies and procedures; completes tasks correctly and on time; supports the company’s goals and values.
• Performs the position safely, without endangering the health or safety to themselves or others and will be expected to report potentially unsafe conditions. The employee shall comply with occupational safety and health standards and all rules, regulations and orders issued pursuant to the OSHA Act of 1970, which are applicable to one’s own actions and conduct.
• Performs other duties and projects as assigned. 

WHAT YOU’LL BRING

• 6+ years’ experience in model validation or model development in the banking industry or consulting.
• Master’s in Economics, Finance, Mathematics and/or other related quantitative fields.
• Familiarity with model documentation requirements that meets regulatory expectations.
• Strong written and verbal communication skills.
• Familiarity with dealing with large data set. 
• Experience with model validation..
• Proficiency in statistical programming skills such as in Python / R.
• Strong organizational, written and verbal communication skills.
• Ability to work independently and collaboratively.
• Ability to interface effectively and professionally with senior level management. 
• Ability to multi-task several projects at once.
• Excellent attention to detail and accuracy 
• Excellent organizational and time management skills.
• Proven ability to use Microsoft Office Suite (Outlook, Excel, MS Word, and PowerPoint). 
• Creative and strategic thinker capable of analyzing information/processes to determine overall trends and make appropriate conclusions. 
• Review and be knowledgeable of departmental and human resource’s policies & procedures

Preferred:

• Experience with BSA/OFAC, Payment, or Merchant Acquiring/Card Issuing model validation.
• Familiarity with AI/ML models

HOW WE’LL SUPPORT YOU

• Financial Security: You will be eligible to participate in the company’s 401k plan which includes a company match and immediate vesting.
• Health & Well-Being: We offer comprehensive insurance options including medical, dental, vision, AD&D, supplemental life, long-term disability, pre-tax Health Savings Account with employer contributions, and pre-tax Flexible Spending Account (FSA).
• Building & Supporting Your Family: Banc of California partners with providers that offer adoption, surrogacy, and fertility assistance as well as paid parental leave and family support solutions including care options for your family.
• Paid Time Away: Eligible team members receive paid vacation days, holidays, and volunteer time off.
• Career Growth Opportunities: To support career growth of our team members, we offer tuition reimbursement, an annual mentorship program, leadership development resources, access to LinkedIn Learning, and more.

SALARY RANGE

The base salary ultimately offered is determined through a review of education, industry experience, training, knowledge, skills, abilities of the applicant in alignment with market data and other factors.

Banc of California is an equal opportunity employer committed to creating a diverse workforce. All qualified applicants will receive consideration for employment without regard to age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), denial of Family and Medical Care Leave, disability (mental and physical) including HIV and AIDS, marital status, medical condition (cancer and genetic characteristics), genetic information, military and veteran status, national origin (including language use restrictions), race, sex (which includes pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, gender expression, and sexual orientation. If you require reasonable accommodation as part of the application process, please contact Talent Acquisition.

About the role

Establish and operationalize security controls for emerging Artificial Intelligence and Machine Learning capabilities across the enterprise. This role is responsible for embedding security into AI solution design, protecting AI models and data pipelines, and enabling secure adoption of AI use cases across business and technology functions.

The role works closely with Digital, Data, AI, Security Architecture, Engineering, and Cyber Defense Operations teams to define secure AI architecture patterns, implement guardrails, and ensure AI platforms operate within client’s cybersecurity, risk, and governance standards. The ideal candidate combines strong cybersecurity engineering capability with practical knowledge of AI platforms, model risks, and enterprise technology integration.

What you will do:

AI Security Architecture & Engineering

• Define secure architecture patterns for AI and machine learning solutions, ensuring protection of models, training pipelines, inference environments, and supporting data flows.
• Establish secure integration patterns for AI services across enterprise applications, APIs, cloud platforms, and data environments.
• Review AI solution designs to ensure alignment with enterprise security architecture standards and secure-by-design principles.
• Support implementation of secure controls across AI development, testing, deployment, and production environments.

AI Risk Management & Security Controls

• Identify, assess, and mitigate AI-specific threats including model poisoning, prompt injection, adversarial attacks, unauthorized model access, data leakage, and misuse of AI outputs.
• Define and implement security guardrails for AI model access, API usage, prompt controls, and secure interaction with enterprise data sources.
• Establish controls to protect sensitive training data, embeddings, prompts, and inference outputs across AI workflows.
• Support validation of third-party AI services and external model integrations from a cybersecurity risk perspective.

Governance, Standards & Responsible AI Enablement

• Establish AI security standards, engineering guardrails, and governance practices aligned with regulatory requirements, enterprise risk expectations, and responsible AI principles.
• Partner with Digital and AI teams to enable secure AI use cases where security accelerates responsible business adoption rather than acts as a blocker.
• Support creation of AI security review checkpoints for new AI initiatives, pilots, and production deployments.
• Contribute to enterprise AI security policies, reference architectures, and operational standards.

Operational Security & Monitoring

• Collaborate with Cyber Defense Operations to operationalize AI-related detection, monitoring, and response capabilities.
• Support development of monitoring use cases for AI misuse, abnormal model behavior, unauthorized access, and suspicious data movement.
• Define logging and telemetry requirements for AI platforms to improve visibility and incident readiness.
• Support integration of AI platform telemetry into enterprise detection and monitoring tools where applicable.

Cross-Functional Collaboration

• Work closely with Security Architecture, Cloud Engineering, Data teams, Application teams, and AI program owners to ensure consistent security adoption.
• Support security reviews for AI vendors, AI-enabled SaaS platforms, and internally developed AI capabilities.
• Provide technical guidance to project teams on secure AI implementation and operational controls.

What you bring:

• 5–8 years of cybersecurity engineering or security architecture experience, with exposure to cloud security, data protection, or application security.
• Experience working with enterprise AI, machine learning, analytics platforms, or datadriven technology environments.
• Practical understanding of AI/ML deployment patterns, APIs, model lifecycle, and enterprise data integration.
• Experience with Microsoft Azure AI services, OpenAI integrations, Databricks, or enterprise AI platforms preferred.
• Familiarity with emerging AI governance frameworks and responsible AI standards.
• Experience with Secure AI controls embedded into enterprise AI initiatives without slowing adoption.
• Clear visibility into AI-related cyber risks and mitigation actions and ability to translate emerging AI risks into practical engineering controls.
• Practical AI guardrails established for data, model access, and operational use.
• Strong alignment between AI innovation, enterprise security, and regulatory expectations.
• Security certifications such as CISSP, CCSP, or cloud security certifications preferred.

Security Engineering Skills:

• Strong understanding of cybersecurity controls across cloud, applications, APIs, identity, and data protection.
• Familiarity with AI/ML risks including prompt injection, model abuse, data leakage, and adversarial techniques.
• Knowledge of secure architecture principles for modern digital and AI platforms.

Equal Opportunity Employer:

AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers.

As a Senior Lead Security Engineer at JPMorganChase within the Enterprise Technology, Data Platforms Team, you are an integral part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.

Job responsibilities

• Facilitates security requirements clarification for multiple networks to enable multi-level security to satisfy organizational needs
• Enhances partnership with Application Owners (AOs) to proactively address changes in their applications. Embeds TRC involvement from the design phase (e.g., Quantum replatforming) to ensure compliance from the outset, rather than only at checkpoints.
• Provides senior leadership with visibility into key risks and blockers, including forecasting future issues. Ensures this is a standing agenda item in leadership meetings to highlight risks, weaknesses, and support AOs with prioritization.
• Takes formal responsibility for AWS module currency reporting and remediation, clarifying accountability for AOs and reducing confusion by embedding this within the risk team.
• Establishes closer linkage between the Technology Risk Committee (TRC) and AI Governance, recognizing that technology risk is key to AI governance. Partners with current governance processes to ensure secure deployment of AI use cases and integrates technology AI governance as a core component of the role.
• Acts as a key component in vendor onboarding, ensuring proper contract terms, advising on design, and shepherding vendor applications through internal processes. Early engagement prevents misinformation and streamlines onboarding (e.g., Sigma case study).
• Works with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability
• Be responsible for triaging based on risk assessments of various threats and managing resources to cover impact of disruptive events

Required qualifications, capabilities, and skills

• Formal training or certification in software and/or security engineering concepts, with 5+ years of applied experience in enterprise environments.
• Proven ability to plan, design, and implement enterprise-level security solutions across diverse technology domains, including cloud and AI.
• Deep knowledge of software application development, technical processes, and security controls, with specialization in at least one area such as cloud, artificial intelligence, machine learning, or mobile technologies.
• Extensive experience with threat modeling, vulnerability assessment, discovery, and penetration testing, including risk triage and mitigation strategies.
• Demonstrated ability to independently tackle complex design and functionality problems, proactively identifying risks and blockers and driving remediation.
• Practical experience with cloud-native architectures and AWS environments, including module currency reporting and remediation.
• Strong partnership skills, with a track record of collaborating with Application Owners (AOs), senior leadership, and cross-functional teams to embed security and compliance from the design phase through deployment.
• Experience establishing and maintaining linkages between technology risk committees and governance functions, ensuring secure deployment and oversight of AI use cases.
• Ability to act as a key advisor in vendor onboarding, contract review, and internal process navigation, ensuring early engagement and compliance.

Preferred qualifications, capabilities, and skills

• Demonstrated experience in AI governance and technology risk management, with a proven ability to bridge governance and risk functions for secure AI deployment.
• Strong track record of providing senior leadership with actionable risk insights and supporting prioritization for application owners.
• Experience with AWS module currency reporting and remediation, including clear accountability structures.
• Ability to partner with application owners and vendors from the design phase, ensuring compliance and preventing misinformation through early engagement.
• Experience in vendor onboarding processes, contract review, and internal process navigation.
• Advanced proficiency in one or more programming languages, with hands-on experience in secure software development practices. (any specific languages) 

The role is part of Group Data Management & Governance, to operationalise data and AI initiatives and support data & AI governance across the Group. 

• Design, develop and maintain data and AI governance, and data management artefacts (e.g. framework, policies, standards and guidelines) to ensure relevancy and up-to-date to meet the organization’s strategic objectives and business needs, as well as be aligned to regulatory requirements. 
• Support the department’s communication strategy, programs and initiatives to raise the overall data literacy, data control and data management obligations across the Group to enable intelligent workforce. 
• Refine and operationalize the various aspects of data & AI governance to effect proper ownership and accountabilities across the Group.
• Enforces Group Data & AI project management practices and processes. 
• Perform oversight and support country and subsidiaries to ensure alignment of governance practices, data management obligations, and standards.

• Degree from recognized tertiary institution with at least 8 years of working experience where at least 3 years of hands-on experience in data and/or AI governance, project management, audit or compliance in insurance or financial services industry. 
• Detail oriented and analytical, with good problem solving, project management and organizational skills. 
• Good understanding of the principles of project management, e.g. project risk management, project control gates etc. 
• Strong change management skills and/or experience in organization transformation programs. 
• Experience in operationalizing processes an added advantage. 
• Experience in IT Service Management an added advantage. 
• PMP Certification an added advantage 
• Exposure and understanding on data, architecture diagrams and up-to-date on data and technology landscape (e.g. Hadoop, cloud, data warehouse, AI and ML) 
• Good team spirit, stakeholder management and interpersonal skills.

The role is part of Group Data Management & Governance, to operationalise data and AI initiatives and support data & AI governance across the Group. 

• Design, develop and maintain data and AI governance, and data management artefacts (e.g. framework, policies, standards and guidelines) to ensure relevancy and up-to-date to meet the organization’s strategic objectives and business needs, as well as be aligned to regulatory requirements. 
• Support the department’s communication strategy, programs and initiatives to raise the overall data literacy, data control and data management obligations across the Group to enable intelligent workforce. 
• Refine and operationalize the various aspects of data & AI governance to effect proper ownership and accountabilities across the Group.
• Enforces Group Data & AI project management practices and processes. 
• Perform oversight and support country and subsidiaries to ensure alignment of governance practices, data management obligations, and standards.

• Degree from recognized tertiary institution with at least 8 years of working experience where at least 3 years of hands-on experience in data and/or AI governance, project management, audit or compliance in insurance or financial services industry. 
• Detail oriented and analytical, with good problem solving, project management and organizational skills. 
• Good understanding of the principles of project management, e.g. project risk management, project control gates etc. 
• Strong change management skills and/or experience in organization transformation programs. 
• Experience in operationalizing processes an added advantage. 
• Experience in IT Service Management an added advantage. 
• PMP Certification an added advantage 
• Exposure and understanding on data, architecture diagrams and up-to-date on data and technology landscape (e.g. Hadoop, cloud, data warehouse, AI and ML) 
• Good team spirit, stakeholder management and interpersonal skills.

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

YOUR CHALLENGE

• Perform independent validation of models (with a focus on AI and generative AI / Agentic AI / RAG systems) through statistical techniques, development of benchmark models and data analysis, in accordance with a multi-annual review plan. This includes:
  • testing of the model’s assumptions, conceptual soundness, implementation, appropriateness of input data, model parameters, and their calibration accuracy
  • performance of model risk rating assessments
  • identification and evaluation of model limitations, and assessment of overall model risk in new and existing models
  • production and delivery of model validation reports in high standards to evidence a sound challenge and risk-oriented validation findings
• Track and verify model risk mitigation activities and ensure adequate oversight over models through their lifecycle
• Maintain and further develop the model governance framework and model risk management processes
• Monitor model performance indicators along standardized risk metrics
• Build strong relationships and interact with model owners, developers, users, subject matter experts and Risk Management functions both at headquarter in Zurich and in foreign locations

YOUR PROFILE

• Higher university degree in a quantitative area (Artificial Intelligence, Mathematics, Engineering, Quantitative Finance), Master or PhD level, FRM or PRM is an advantage
• Profound knowledge and preferably a minimum of 2 years of experience working with non-financial models (e.g. Machine Learning, Artificial Intelligence, generative AI / agentic AI).
• Experience with financial models (e.g. Liquidity/ALM, Stress Testing, IRRBB, Market Risk, Credit Risk, Investment/Research/ESG) would be an advantage.
• Programming experience in languages such as Python, R, SQL.
• Autonomous working style, with the ability to demonstrate initiative defining validation scope, designing independent technical tests, clearing and reporting of validation outcome.
• Results-oriented individual with outstanding interpersonal skills, excellent written and verbal communication skills in English (German is an advantage).
• Focused on clients and can communicate impactfully with business partners, explaining technical and complex topics to a diverse audience.

We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site.

Is this not quite what you are looking for? Set up a job alert by creating a candidate account here.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Role Summary:

The AI Governance Compliance Manager ensures AI systems meet regulatory requirements across the enterprise that span the AI governance lifecycle. This role sits at the intersection of legal, risk management, Cyber, data science, data engineering and technology governance. This role translates complex regulatory requirements into operational controls, designs standards and protocols for data and AI governance.  As RAIBs are operationalized, this role will be mission critical for enabling and designing controls, protocols and standards aligned to the McKesson’s AI policy, NIST-AI Risk Management framework, to drive enterprise AI enablement and deployment at scale.

Key Responsibilities:

• Build, operationalize and enforce governance frameworks that align AI deployments with regulatory requirements (NIST) and Enterprise AI policy translating legal requirements into operational controls
• Monitor regulatory and compliance requirements and map changes to affected internal AI systems and processes; continuously maintain all standards, guidelines and protocols
• Develop or refine governance controls that map regulatory requirements to operational procedures. Link specific requirement (regulatory / NIST) to implementation steps for business units.
• AI governance frameworks and policies, risk assessments and algorithmic impact assessments, compliance audit reports and remediation plans.  Incident response protocols for AI requirements failures.
• Define standards for the enterprise AI system inventory and lifecycle. Define catalog requirements and classification levels against risk taxonomy and verify that existing systems have current documentation and governance controls in place.

Minimum Requirement:

Degree or equivalent and typically requires 10+ years of relevant experience

Skills and Experience:

• Proven experience with stakeholder management, strategic communication, and ability to translate between technical and business audiences.
• Technical expertise includes risk assessment, AI audit methodologies and bias detection techniques, data governance and lineage tracking, model explainability tools, compliance monitoring platforms, and GRC tools e.g. Alation, Microsoft Purview, ServiceNow, and OneTrust.
• AI governance expertise spanning bias and fairness auditing, model risk management and validation, transparency and explainability documentation, data governance (quality, lineage, retention, consent) regulatory compliance mapping across jurisdictions, AI ethics framework development, algorithmic impact assessments.
• Familiarity and understanding of bias and fairness in algorithmic systems and industry-specific regulatory knowledge (Healthcare).
• Differentiating expertise – building AI governance frameworks from scratch, hands on experience with GRC tools, Generative AI governance (LLM-specific risks including hallucinations, prompt injection, and IP concerns) and third-party vendor risk management.

Working Conditions:

• In office requirement, we are Flex and Connect with 2 days a week in office

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to [email protected].

Join us at McKesson!

About Our Company

Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 20 years. We are part of Ameriprise Financial Inc., a US financial planning company headquartered in Minneapolis with a global presence and diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection.

Be part of an inclusive, collaborative culture that rewards you for your contributions, and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So, if you're talented, driven and want to work for a strong, ethical company that cares, take the next step and create a career at Ameriprise India LLP.

Job Description

Key Responsibilities:

• Support and facilitate monitoring of model risk policy requirements and related metrics, escalate breeches, and manage exceptions.
• Create key reports for risk metrics used in senior level distribution.
• Perform subject matter expert reviews and oversight of model governance, model identification, model use and model controls in the first line of defense.
• Perform subject matter expert reviews and oversight of Artificial Intelligence use cases including identification and risk assessment.
• Maintain and enhance the model inventory and findings repositories tool for limited-scope projects.
• With supervision, design and deliver training to partners on policies, procedures, standards, and systems.
• Collaborate with senior management and colleagues in business and staff functions across the enterprise in the development, review and revision of model risk policies, procedures, and standards.

Required Qualifications:

• Minimum 5 years of experience in model risk management, analytical risk management or finance in banking or insurance.
• Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.
• Ability to work effectively in a collaborative team environment.
• Solid analytical, quantitative, and problem-solving skills, the ability to interpret data, reach conclusions and take action.
• Excellent attention to detail and accuracy, with emphasis on controls, evidence, and auditability.
• Solid organization skills including multitasking and time-management.
• Strong working knowledge of Microsoft Excel, PowerPoint, etc.
• Ability to navigate fast paced, matrixed environment and manage competing priorities.

Preferred Qualifications:

• Model Risk Management experience or experience as a Business Analyst/Reporting Analyst in a Risk Management, or Audit Function.
• Strong working knowledge of Model Inventory software.

In-Office Collaboration:

• We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least three (3) days per week, with flexibility to work from home two (2) days per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, military status, veteran status, marital status, pregnancy, family status or any other basis prohibited by law.

We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.

Apply now!
We are Mercedes-Benz Tech Innovation - but we don't build cars: We define the future with technology.
As the largest tech company of Mercedes-Benz Group AG, around 2,500 employees in Ulm, the Stuttgart area, Berlin and Karlsruhe as well as in international tech hubs work on the technology trends of tomorrow's mobility.    
We are united by our enthusiasm for innovation and the latest technologies - combined with the conviction that individual freedom and personal responsibility are crucial for real progress. We are #techinnovators.    
Learn more about us Mercedes-Benz Tech Innovation GmbH

Welche Aufgaben erwarten dich?

• Als Praktikant/Werkstudent Vibe Coding for AI Security (d/m/w/x) unterstützt du uns bei der Entwicklung schneller Software-Prototypen und interner Tools mithilfe modernster AI-Coding-Technologien.

• Dein Fokus liegt auf dem Einsatz von AI-Coding-Assistenten wie GitHub Copilot und Claude Code, um in kürzester Zeit funktionsfähige Prototypen, MVPs und Automatisierungslösungen zu entwickeln.

• Du recherchierst, testest und bewertest neue Tools, Frameworks und Open-Source-Projekte im Bereich AI-gestützter Softwareentwicklung und gibst fundierte Empfehlungen für deren Einsatz in unseren Workflows.

• Du erstellst und pflegst Projekt-Konfigurationen wie SKILL.md- oder ARCHITECTURE.md-Dateien, um AI-Agenten gezielt mit Kontext zu versorgen und reproduzierbare, qualitativ hochwertige Ergebnisse sicherzustellen.

• Du konzipierst eigenständig Lösungsansätze, integrierst Daten aus verschiedenen Quellen und testest die Ergebnisse, um das bestmögliche Ergebnis zu erzielen.

• Du bist ein wichtiger Teil unseres agilen Teams, das sich mit Themen wie AI Red Teaming, AI Governance und der Absicherung von KI-Systemen beschäftigt – du sorgst dafür, dass wir dafür die richtigen Werkzeuge haben.

Wie passt du in unser Team?

• Du studierst Informatik, Software Engineering, Data Science oder einen vergleichbaren Studiengang.

• Du bringst fundierte Programmierkenntnisse in mindestens einer Sprache (z. B. Python, TypeScript, JavaScript) mit und bist sicher im Umgang mit Git und GitHub.

• Du nutzt AI-Coding-Assistenten wie GitHub Copilot, Claude Code oder vergleichbare Tools bereits aktiv – sei es im Studium, in Nebenprojekten oder einfach aus Begeisterung.

• Du weißt, wie man LLMs durch gutes Prompting zu nützlichen Ergebnissen führt.

• Erste Berührungspunkte mit Themen wie SKILL.md-Dateien, MCP-Servern, Agenten-Frameworks oder der Orchestrierung von AI-Workflows sind ein Plus – vor allem aber hast du Lust, dich tief in diese Themen einzuarbeiten.

• Ein grundlegendes Interesse an AI Security ist wünschenswert – tiefes Vorwissen ist nicht erforderlich, da du von unserem erfahrenen Team lernst.

• Faszination für Rapid Prototyping, AI-gestützte Entwicklungsworkflows und die neuesten Trends im Bereich Vibe Coding sowie Leidenschaft für interdisziplinäre Aufgaben zeichnen dich aus.

• Analytisches Denkvermögen, eine schnelle Auffassungsgabe und ausgeprägte Kommunikationsfähigkeit ermöglichen dir ein eigenverantwortliches Arbeiten.

• Routinierter Umgang mit Office Tools wie MS Word, MS Excel, Outlook und Teams ist für dich selbstverständlich.

• Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift runden dein Profil ab.

• Unlock your chance: Sende uns deine vollständige Bewerbung (inkl. Immatrikulationsbescheinigung, Notenübersicht, ggf. SPO/Aufenthaltstitel/Arbeitserlaubnis) und werde Teil unseres Teams!

Benefits

Flexible working hours

To ensure that there is still enough free time in addition to studying and working, you will receive a pro rata 30 vacation days with us as well as the opportunity to plan your working hours flexibly. In coordination with your team and your contact person, you also have the opportunity to work remotely. In addition, almost all of our positions are suitable for part-time work.

Become a full-fledged member of the team

You accompany innovative projects at the cutting edge and take on responsible tasks, so you are a full-fledged member of our team right from the start! Of course, you benefit from an attractive salary.

Our culture

At Mercedes-Benz Tech Innovation, we are a team! Our cooperation is based on mutual trust and respect. Flat hierarchies, an appreciative atmosphere, openness and open-mindedness are part of our daily work. In order for your start with us to succeed, you will receive an individual onboarding and a direct contact person.

A Great Place to Work

Awards say more than words - Mercedes-Benz Tech Innovation has already received the "Great Place to Work - Best Employers" award several times. Maybe we will soon be your Great Place to Work!

Address:

Mandate

Assist the Senior Manager and Director of the AML & Fraud Model Validation (MV) team with enterprise-wide management of model risk so that the bank is not subject to unjustified (in a risk vs. return framework), undue, and unidentified risks due to the use of models and promoting the transparency and understanding of models and model risks used across the Bank in AML & Fraud areas. The mandate of this position is summarized as follows:

• Effectively identify risks associated with models; timely, accurately and independently assess models used in the areas of responsibility; and tactfully provide the recommendations to model owners and users to mitigate the risks
• Assist the Senior Manager to develop/continuously enhance model validation methodology; and conduct validation
• Ensure that the models (development, documentation, usage, etc.) in AML & Fraud areas are compliant with the Bank’s Enterprise Model Risk Framework, and are compliant with OSFI/FRB/OCC’s requirement
• Provide advisory support to large-scale projects as required and other work streams as appropriate and requested to ensure that bank’s models are in line with industry best practice
• Support the Senior Manager in the development and execution of overall work plan

Knowledge and Skills 

Knowledge:

• Hands-on experience and advanced knowledge in AML or Fraud models (transaction monitoring, Watchlist Screening, Customer Risk Rating, credit card fraud, mar) etc.
• Good knowledge and relevant training in data mining, machine learning, and statistical analysis techniques, with minimal 3 years of demonstrated experience pertaining to AML/Fraud or machine learning/statistical modeling.
• In-depth knowledge of industry best practices;
• Good knowledge of regulatory requirements on AML models; experience in regulatory matters as an asset
• Minimum: Master’s Degree, PhD. preferred in a quantitative field e.g., Mathematics, Computer Science, Statistics and Engineering.
• AML Designation such as CAMS, ACAMS preferred

Skills:

• Detail-oriented, analytical, well organized, highly self-motivated and good interpersonal skills

• Effective time management in order to efficiently deliver concurrent projects with competing priorities
• Good ability of conflict-solving; and ability to collaboratively work with model owner/sponsor counterparts
• Effective presentation and communication skills; Ability to convey complex concepts and outcomes to non-subject matter experts.
• Proficiency in computing development skills, particularly statistical and database modeling tools (Python, SAS, R, SQL, Matlab, Access/VBA etc.). Ability to adapt to various programming languages and environments. Advanced SAS proficiency is required

Job Descriptions

Model Validation (75%)

• Support senior managers in the development and execution of overall work plan
• Manage assigned validation/review projects and ensure a timely delivery of the validation report with high quality.
• Support senior managers in the on-going monitoring of AML and Fraud models to identify early warning of model performance deterioration and ensure proper mitigation/action plan in place in such situations;
• Perform research and analysis of applicable methodologies; benchmark model owners’ approaches; and present and recommend appropriate alternative for model developers;
• Produce validation reports, with clarify of issues and actionable items, including recommendations, to help the lines of business enhance the validated model
• Ensure model inventory is accurate and up-to-date, reflecting the model attributes as evidenced in relevant documentations.
• Provide regular updates on the assigned vetting/review, including a regular review of models/methodologies implemented and ensure that high model risk issues are raised and addressed at appropriate management level
• Keep abreast with advances in credit risk analytics developments and applications by vendors, consultants, regulatory agencies and competitors. Recommend/develop enhancements appropriate for the Bank

Relationship Management (5%)

• Partner with the lines of business, corporate functions, and ERPM to enhance understanding of model risks relating to Corporate Risk models and ensure transparency of models used in their respective areas
• Build and manage relationships with the line of business/risk managers/executives in the joint implementation of strategic changes in the business by assisting model development via parallel-to-development model risk consulting. Act as internal consultant to proactively help the lines of business manage its’ model risk
• Provide support to large-scale projects as required and subject matter advisory support to other work streams as appropriate
• Develop relationships with other financial institutions; provide ongoing peer benchmarking support

Managerial Leadership (5%)

• Support the Senior Manager to continuously provide training to (internal or external) junior resources on model risk and/or validation related matters.

Governance (5%)

• Communicate model risk issues to the lines of business to ensure identified model risks are well understood and appropriate model risk mitigation actions implemented, escalating where necessary to the Senior Manager.
• Assist the Senior Manager to ensure all models covered by the team meet the requirement of the Enterprise Model Risk Management Framework,
• Assist the Senior Manager to ensure all models covered by the team are vetted and approved or issued an exception based on quality assurance to protect the bank from unjustified, undue, and unidentified risks due to the use of the models
• Assist the Senior Manager and work with Model Governance to ensure all AML models conditions are monitored and communicated with model owners on a timely basis to ensure the conditions are fulfilled in time.

Operational (5%)

• Assist the Senior Manager to ensure regular review process is followed, model conditions are monitored and fulfillment of conditions are assess on a timely basis
• Support the Senior Manager for the optimal operation of the team, including identifying and implementing improvements to work, processes, and systems to ensure operational effectiveness and compliance with all bank and external regulatory, corporate policy, and governance requirements

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

YOUR OPPORTUNITY
Join Bacardi at the cutting edge of AI security, helping protect our expanding AI ecosystem from emerging threats. You’ll work closely with senior security and data experts, shaping AI governance and cyber defence while gaining hands‑on experience across real AI risks and incident response. If you’re passionate about cyber security and eager to grow in one of the fastest‑moving areas of technology, this role is your launchpad.
 

ABOUT YOU
You’re curious, fearless, and ready to dive into new AI security challenges. You bring a founder’s mindset—proactive, hands on, and comfortable shaping new approaches in a fast evolving space. You thrive in a collaborative, supportive team and take pride in doing the right thing to keep people and data safe. Above all, you’re passionate about security and excited to help Bacardi build AI responsibly.
 

RESPONSIBILITIES 

•    Support security assessments of AI/ML systems and help identify, document, and prioritise AI‑specific risks.
•    Monitor AI‑related vulnerabilities and work with the Cyber Security Team to drive remediation and strengthen guardrails.
•    Maintain AI governance documentation, model inventories, and compliance records across the AI lifecycle.
•    Assist with data protection and privacy safeguards for AI solutions in partnership with the Data Responsibility team.
•    Review and triage security alerts, investigate incidents, and contribute to SOC documentation and learning reviews.
•    Support incident response and vulnerability management for AI applications, integrations, and cloud environments.
•    Contribute to security best‑practice guidance, maintain runbooks, and support TECH and Data cross‑functional initiatives.
 

SKILLS 

•    1–2 years’ experience in cyber security, data security, or SOC operations, with strong analytical and problem‑solving skills.
•    Foundational understanding of AI/ML concepts, common AI security risks, and emerging responsible‑AI practices.
•    Familiarity with SIEM tools, SOC investigation workflows, vulnerability management, and cloud security basics (M365/Azure/AWS).
•    Strong communication skills, with the ability to explain technical issues clearly and work effectively in fast‑moving environments.
•    Exposure to IAM, data governance for AI, and experience collaborating across global, diverse teams.
 

LEADERSHIP AGILITY

At Bacardi we care deeply about finding brilliant talent who can bring the following personal attributes to help elevate our 3Fs: Fearless, Family, Founder culture to the next level.
 

• Belonging: You have a strong capacity to create a culture of ‘Belonging’, where people feel appreciated for who they are, what they do, and who they can become

• Self-Awareness: You have high levels of self-awareness, are reflective and know yourself well, understanding both your own strengths and weaknesses and your impact on others

• People Agility: You bring a deep ability to understand and relate to people and navigate through tough situations to harness and multiply collective performance

• Results Agility: You demonstrate consistent delivery of results in first-time situations by inspiring teams, exhibiting a presence that builds confidence in yourself and others.

• Mental Agility: You can think critically to penetrate complex problems and expand the possibilities by making fresh connections. You think strategically whilst being execution focused and bring creativity to the challenges you’re presented with

• Change Agility: You have a deep natural curiosity, desire to experiment and ability to effectively deal with the heat of change. You have a growth and learning mindset: ready to test, stumble, learn and apply from experience

Disclaimer: Bacardi seeks talent from all backgrounds to bring diversity of thought, agility and capability to our organization across the globe. We promote a working environment where all employees are treated and rewarded fairly. We do not tolerate any form of discrimination that adversely affects individuals or groups on the basis of national origin, race, color, religion, sex, gender, sexual orientation, marital status, disability, age, and any other legally protected aspect of a person’s identity. 

U.S. applicants have rights under Federal Employment Laws.

Perks of Working for us

At Bacardi, we are committed to providing our Primos (employees) with a comprehensive Total Rewards package of compensation, benefits, incentives, allowances, well-being, and much more to meet the needs of themselves and their families. It goes beyond just Cash! The total rewards program is based on pay for performance, whereby the incentive programs are linked to company and individual performance.

Compensation, Paid Time Off & Retirement:

• Competitive Pay Package

• Competitive Holiday/Paid Time Off, plus additional days offered ( i.e., volunteer day, allowing you to give back to the community)

• Retirement/Pension Plan

Health & Wellbeing

• Medical, Critical Illness, and Life Insurance

• Employee Assistance Programs

• Best-in-class, family-friendly, and inclusive leave policies

Additional Benefits

The benefits /perks may vary depending on the nature of your employment with Bacardi, your work location, and are subject to change.

Some benefits may be subject to an employee contribution.

Some benefits may be fully or partially subsidized. Incentive plans are linked to the nature of your employment and can vary based on region, market, function or brand.

About this role:

Wells Fargo is seeking a Senior Lead Enterprise Risk & AI Governance Officer - Executive Director within the Model Risk Management (MRM) Governance organization to serve as the enterprise owner of the Artificial Intelligence Risk Management Policy and Program.

This role is designed for a senior thought leader and a trusted advisor in AI governance who operates at a strategic, enterprise level, providing vision, structure, and oversight for how artificial intelligence is governed across the firm. The Senior Lead Enterprise Risk & AI Governance Officer will own the design, integrity, and evolution of this companywide framework, ensuring Wells Fargo maintains a clear, scalable, compliant, and future ready foundation for AI usage.

In this role, you will:
Enterprise AI Governance Vision & Program Architecture

• Architect and shape the AI Risk Management Program from a strategic perspective, defining the overarching framework, standards, controls, and oversight mechanisms that govern AI usage across the enterprise.

• Establish a clear operating model that defines how AI services and models are identified, assessed, governed, monitored, changed, and retired across their lifecycle.

• Ensure the governance program is scalable, sustainable, and adaptable to evolving technologies, regulatory expectations, and business strategies.

Policy Ownership and Governance Accountability

• Serve as the enterprise owner of the Artificial Intelligence Risk Management Policy and supporting procedures and guidance, maintaining accountability for clarity, consistency, and compliance.

• Translate regulatory expectations and enterprise risk principles into policy guardrails and governance standards.

• Ensure policy intent is clearly understood and consistently applied across lines of business, while allowing flexibility for risk-based implementation.

Governance Controls, Standards, and Best Practices

• Define AI governance controls and best practices, including expectations for identification, development, validation, monitoring, change management, and decommissioning.

• Ensure leadership receives clear, executive ready insights into AI risk exposure, governance effectiveness, emerging risks, and systemic issues.

• Establish decision frameworks and escalation paths that guide how AI risks are evaluated, challenged, accepted, or remediated at the enterprise level.

• Oversee the effectiveness of governance controls through structured oversight, reporting, and review mechanisms.

Strategic Leadership, Alignment, and Advisory

• Assemble, engage, and align the appropriate execution teams and stakeholders, ensuring clarity of roles, responsibilities, and accountability across the AI governance ecosystem.

• Provide strategic guidance and planning support to help the organization navigate AI risk, compliance obligations, and responsible AI practices.

• Serve as a trusted advisor to senior leaders, offering informed perspectives on industry trends and peer practices, regulatory developments related to AI and model risk, and enterprise level AI guardrails and risk tolerance

• Represent the AI Risk Management and AIRR Program in enterprise governance forums, audits, and regulatory readiness activities.

• Influence alignment between AI governance, Model Risk Management, and Operational Risk programs across the firm.

Required Qualifications:

• 7+ years of Risk Management experience (Compliance, Financial Crimes, Operational Risk, Audit, Legal, Credit Risk, Market Risk, IT Systems Security, Business Process Management) or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Recognized expertise in AI governance, Model Risk Management, or enterprise level technology risk frameworks.

• Demonstrated experience designing and owning enterprise governance programs or policies.

• Deep understanding of regulatory expectations, industry standards, and emerging practices related to AI and model risk.

• Strong ability to operate as a strategic advisor and thought leader with senior executives and cross enterprise stakeholders.

• Ability to synthesize complex information into clear, actionable leadership reporting, including risks of non‑compliance.

• Exceptional communication skills with the ability to influence, align, and drive decisions at the executive level.

• Bachelor’s degree (BS/BA) or higher.

Job Expectations:

• Ability to travel up to 15% of the time.

• This position offers a hybrid work schedule.

• Willingness to work onsite at the location listed on the job posting.

Job Locations:

• Three Wells Fargo Center, 401 S Tryon St, CHARLOTTE, NC

• 600 Wells Fargo, MINNEAPOLIS, MN

• Las Colinas Bldg B, Irving Campus, IRVING, TX

• West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Posting End Date:

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Job Description

The Position

The Associate Director, AI Security & Risk is a senior contributor responsible for leading enterprise-wide security, governance, and risk oversight for AI systems, agentic architectures, and data pipelines. This role partners deeply with AI developers, ML engineers, and cross-functional stakeholders to ensure AI solutions are secure, transparent, and aligned with regulatory and ethical expectations. The ideal candidate brings strong cybersecurity and risk management expertise, combined with a practical understanding of AI/ML technologies, agentic AI behavior, and emerging threat landscapes.

Responsibilities

·       Lead comprehensive AI security and risk assessments across models, data pipelines, agentic systems, and integrations.

·       Develop and maintain AI risk taxonomies, risk registers, and prioritization frameworks to track and mitigate emerging threats.

·       Establish and refine AI governance controls, including model documentation, access controls, data-handling standards, and compliance requirements.

·       Provide guidance to business and engineering teams on responsible AI usage, data leakage prevention, and model governance.

·       Partner closely with AI system developers, ML engineers, and agent-orchestration teams to embed security and risk controls throughout the AI lifecycle.

·       Participate in design reviews, sprint planning, and architecture discussions to ensure secure-by-design AI development.

·       Advise on secure model architectures, agent workflows, tool integrations, and autonomy boundaries.

·       Collaborate with engineering teams to implement identity boundaries, tool-use restrictions, and data-minimization practices.

·       Define and maintain traceability standards for agentic AI systems, ensuring all agent actions, tool calls, decision paths, and context inputs are logged and auditable.

·       Work with engineering teams to implement end-to-end observability, including prompt lineage, tool-use logs, execution boundaries, human-in-the-loop checkpoints, and behavioral monitoring.

·       Analyze agent behavior to detect unsafe patterns, recursive loops, hallucinated actions, or unauthorized tool usage.

·       Integrate agentic AI telemetry into SOC monitoring, incident response, and forensic workflows.

·       Present AI risk posture, emerging threats, and mitigation strategies to senior leadership, governance committees, and technical teams.

·       Serve as a trusted advisor to product, legal, compliance, and engineering teams on AI security and governance topics.

Required Education, Experience, and Skills

B.S. Degree with at least 7 years overall work experience and at least 5 years of experience in cybersecurity, IT risk, or related fields, with exposure to AI/ML environments.

·       Strong understanding of AI architectures, model lifecycles, data governance, and ML security risks.

·       Experience conducting risk assessments, threat modeling, and compliance reviews.

·       Excellent analytical, communication, and cross‑functional leadership skills.

Preferred Education, Experience, and Skills

Familiarity with cybersecurity frameworks (NIST CSF, ISO 27001, SOC2) and emerging AI governance frameworks.

·       Demonstrated ability to collaborate with AI developers, ML engineers, and agent‑orchestration teams.

·       Experience with agentic AI frameworks, including tool‑use governance, autonomy tiers, and execution boundaries.

·       Expertise in designing or evaluating traceability and observability mechanisms for AI systems.

·       Familiarity with MCP‑based architectures or agent frameworks (e.g., LangChain, Semantic Kernel, MuleSoft Agent Fabric).

·       Knowledge of data privacy regulations (GDPR, CCPA) and model transparency requirements.

·       Technical familiarity with Python, cloud platforms, and ML tooling.

Secondary Job Description

Who We Are:

Organon delivers ingenious health solutions that enable people to live their best lives. We are a $6.5 billion global healthcare company focused on making a world of difference for women, their families and the communities they care for. We have an important portfolio and are growing it by investing in the unmet needs of Women’s Health, expanding access to leading biosimilars and touching lives with a diverse and trusted portfolio of health solutions.  Our Vision is clear: A better and healthier every day for every woman.

As an equal opportunity employer, we welcome applications from candidates with a diverse background. We are committed to creating an inclusive environment for all our applicants. 

Search Firm Representatives Please Read Carefully 
Organon LLC, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Annualized Salary Range

Annualized Salary Range (Global)

Annualized Salary Range (Canada)

Please Note: Pay ranges are specific to local market and therefore vary from country to country.

Employee Status:

Relocation:

VISA Sponsorship:

Travel Requirements: Organon employees must be able to satisfy all applicable travel and credentialing requirements, including associated vaccination prerequisites

Flexible Work Arrangements:

Shift:

Valid Driving License:

Hazardous Material(s):

Number of Openings:

Job Description

The Position

The Associate Director, AI Security & Risk is a senior contributor responsible for leading enterprise-wide security, governance, and risk oversight for AI systems, agentic architectures, and data pipelines. This role partners deeply with AI developers, ML engineers, and cross-functional stakeholders to ensure AI solutions are secure, transparent, and aligned with regulatory and ethical expectations. The ideal candidate brings strong cybersecurity and risk management expertise, combined with a practical understanding of AI/ML technologies, agentic AI behavior, and emerging threat landscapes.

Responsibilities

·       Lead comprehensive AI security and risk assessments across models, data pipelines, agentic systems, and integrations.

·       Develop and maintain AI risk taxonomies, risk registers, and prioritization frameworks to track and mitigate emerging threats.

·       Establish and refine AI governance controls, including model documentation, access controls, data-handling standards, and compliance requirements.

·       Provide guidance to business and engineering teams on responsible AI usage, data leakage prevention, and model governance.

·       Partner closely with AI system developers, ML engineers, and agent-orchestration teams to embed security and risk controls throughout the AI lifecycle.

·       Participate in design reviews, sprint planning, and architecture discussions to ensure secure-by-design AI development.

·       Advise on secure model architectures, agent workflows, tool integrations, and autonomy boundaries.

·       Collaborate with engineering teams to implement identity boundaries, tool-use restrictions, and data-minimization practices.

·       Define and maintain traceability standards for agentic AI systems, ensuring all agent actions, tool calls, decision paths, and context inputs are logged and auditable.

·       Work with engineering teams to implement end-to-end observability, including prompt lineage, tool-use logs, execution boundaries, human-in-the-loop checkpoints, and behavioral monitoring.

·       Analyze agent behavior to detect unsafe patterns, recursive loops, hallucinated actions, or unauthorized tool usage.

·       Integrate agentic AI telemetry into SOC monitoring, incident response, and forensic workflows.