AI Risk Analyst

Join us as an AI Risk Analyst and play a critical role in strengthening our enterprise AI governance and operating model. In this role, you will support the development, implementation, and oversight of AI policies, standards, and controls across Generative AI and Agentic AI use cases. You will partner with risk, legal, compliance, and technology teams to assess AI risks and ensure regulatory alignment. This position provides exposure to advanced AI technologies within a highly regulated financial services environment. It is an excellent opportunity to build expertise at the intersection of AI, risk management, and regulatory compliance.

To be successful as AI Risk Analyst, you should have:

• Experience in a financial, technical, or related field

• Experience in enterprise-level AI/ML model governance and oversight

• Exposure to Generative AI, large language models (LLMs), and NLP concepts

• Ability to design, implement, and maintain AI governance frameworks and policies

Highly valued skills:

• Experience conducting AI risk assessments, conformance testing, and control effectiveness reviews

• Knowledge of AI regulatory frameworks and standards (e.g., EU AI Act, NIST)

• Analytical, investigative, and problem-solving skills in complex environments

• Ability to produce clear, high-quality documentation and presentations for technical and non-technical stakeholders

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 located in New York.

Minimum Salary: $75,000

Maximum Salary: $100,000

The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

Purpose of the role

Support the development, implementation and maintenance of AIML Policies and Standards, the AI inventory, oversight of AI Risk tiering, co-ordination of cross-functional AI risk assessments, supporting Generative AI proof-of-concepts, and governance.

Accountabilities

• Maintain and support the adoption of AIML Policies and Standards across the organisation

• Develop and enhance the AIML operating model programme

• Creation and maintenance of of the AIML system inventory

• Co-ordination of comprehensive AI risk assessments and implementation of effective mitigation strategies

• Support governance of AIML Risks including attendance at forums and working group

• End-to-end support for Generative AI proof-of-concepts, from initial use case intake and review to final approval

• Monitoring of AI systems tp ensure operation within effective guardrails and controls, collaborating with Legal and Compliance teams to ensure regulatory compliance

• Develop and conduct training programmes to educate employees gobally on governance and ethical use of AI

• Continuously enhance the bank's AI governance framework through engagement in AI technology and governance advances

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.

• Requires in-depth technical knowledge and experience in their assigned area of expertise

• Thorough understanding of the underlying principles and concepts within the area of expertise

• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.

• 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 develop technical expertise in work area, acting as an advisor where appropriate.

• Will have an impact on the work of related teams within the area.

• Partner with other functions and business areas.

• Takes responsibility for end results of a team’s operational processing and activities.

• Escalate breaches of policies / procedure appropriately.

• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.

• Advise and influence decision making within own area of expertise.

• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.

• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.

• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.

• Make evaluative judgements based on the analysis of factual information, paying attention to detail.

• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.

• Guide and persuade team members and communicate complex / sensitive information.

• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

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.