Quant AI/ML Model Developer VP
AI in this role
Design and develop advanced machine learning and statistical models for business decision-making and risk management.
Purpose of the role
To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
Accountabilities
- 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 operationalise 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.
Vice President Expectations
- To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
- If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
- 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 be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
- Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
- Manage and mitigate risks through assessment, in support of the control and governance agenda.
- Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
- Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
- Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
- Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
- Adopt and include the outcomes of extensive research in problem solving processes.
- Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills 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.
Build the next generation of AI‑driven risk solutions at Barclays. This is an exciting 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 VP, 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).
- Previous experience in a people leadership role, with a demonstrated ability in supporting, developing and organizing teams together with senior stakeholder management skills.
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.
- Extensive 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.
This role will be based in our Prague office.
Entry Salary: Kč 1,900,000.00
Upper Salary: Kč 2,500,000.00
The entry and upper salary information above includes only annual full-time equivalent base salary and represents the typical range of pay for the role. The actual pay rate will reflect the responsibility level of the role and experience level of the individual. The entry and upper salary information does not include any other type of compensation or benefits that may be available.
Barclays employees are also eligible for a suite of competitive country-specific benefits.
This position is eligible for an incentive award.
How we rate this
Quant AI/ML Model Developer VP at Barclays rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, Machine learning, Statistical Modeling, and Risk Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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