QA Risk AI​/ML Model Developer AVP

Build the next generation of AI‑driven risk solutions s is a rare opportunity to join a new Quant AI/ML team within QA, focused on developing cutting‑edge generative AI applications that will transform how risk and finance functions operate. You’ll work on high‑impact projects—from payment systems to credit and finance use cases—while shaping the bank’s approach to large language models, vector databases, and next‑generation AI tooling.

If you’re excited by innovation, hands‑on model development, and the chance to influence a greenfield capability, this role offers an exceptional platform to grow.

To be successful as a Quant AI / ML Model Developer, you should have experience with:

• Python programming and implementing AI/ML models, ideally including generative AI.
• Working with large language models, prompt engineering, RAG pipelines, or vector databases.
• Applying quantitative or technical skills gained through a relevant degree (e.g., computer science, maths, physics).

Some other highly valued skills may include:

• Understanding of the GenAI landscape, including model options, implementation details, and platforms such as Bedrock.
• Familiarity with financial services or experience working in a banking environment.
• Strong communication skills to simplify complex technical concepts for diverse stakeholders.

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

Location:

London

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making.

• Design analytics and modelling solutions to complex business problems using domain expertise.
• Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
• Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
• Implementation of analytics and models in accurate, stable, well‑tested software and work with technology to ope rationalise them.
• Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
• Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
• Ensure all development activities are undertaken within the defined control environment.

• 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…