AVP - Model Developer

Date live:

09/03/2025

Business Area:

Risk

Area of Expertise:

Risk and Quantitative Analytics

Contract:

Permanent

Reference Code:

JR

Join us as a Assistant Vice President -Model Developer at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Quantitative Analytics (QA) is a global organisation of highly specialized quantitative modellers and developers. QA is led by Olaf Springer, who is a member of Risk Exco.QA is responsible for developing, testing, implementing, and supporting quantitative models for valuation and risk management of traded assets, regulatory and economic capital, impairments, asset-liability management, operational risk, net revenue and balance sheet forecasting, and stress testing across Barclays. The Quantitative Modeller position provides project specific leadership in building targeting solutions that integrate effectively into existing systems and processes while delivering strong and consistent performance. Working with QA Managers, the quantitative modeller role provides expertise in project design, predictive model development, validation, monitoring, tracking, implementation and/or specification.

To be successful as a Assistant Vice President -Model Developer you should have experience with:

• Develop predictive , statistical analyses, optimization procedures, monitoring processes, data quality analyses, and score implementations and specifications.
• Participate in overall project design and delivery with Quantitative Analytics' other functional teams and end-clients.
• Produce robust documentation to ensure replicability of results and fulfil Barclays governance requirements.
• Work constructively with other Barclays resources to deliver projects.
• Work with other colleagues to ensure project completion within agreed time frames and end-client satisfaction.
• Contribute to the broader Quantitative Analytics department through participation in peer reviews, terms of reference reviews, modelling forums, and ad hoc project collaboration.

Stakeholder Management and Leadership:

• Lead resource on projects and bank system migrations, understanding proposed changes, impacts to risk, solutions to mitigate, RAIDs (risks, assumptions, issues, dependencies) to manage, timelines to deliver, resource requirements to deliver.
• Take business requirements, validate, clarify and where appropriate, challenge/refine them with the stakeholder, to translate them into a meaningful functional specification on which to base build activity.
• Manage delivery to agreed timelines and report on progress to a centralized risk change forum and model owners with risk (up to and including director level).
• The role holder will be expected to hold code and document walkthroughs with peers and senior managers who will provide appropriate challenge to drive quality.

Decision-making and Problem Solving:

• Impact analysis of existing managed solutions in response to bank wide initiatives (such as operational system changes).
• Spot and take advantage of opportunities to improve code efficiency, data transformation, space utilization.
• Rapid model implementation data exploration and extraction to source the most suitable data items to support the model build validation exercises.
• Role holder will inform the strategic direction of the Python environment, the principles applied and the toolset evolution.

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: Noida.

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.

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, 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.