Quant Analyst VP

Job Description

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.

Join us as a Quantitative Analyst Vice President (VP) at Barclays, where you will play a key role in developing and enhancing quantitative models that support Treasury, Asset & Liability Management (ALM), Liquidity Risk, Customer Behaviour, and Market Risk activities across the bank.

You will work closely with stakeholders across Risk, Treasury, Business, and Technology functions to deliver analytical insights, improve modelling capabilities, and support strategic decision-making. This role offers the opportunity to contribute to the development of advanced quantitative solutions, influence modelling standards, and help drive innovation within a highly collaborative environment.

Your focus will be on delivering robust analytical models, managing complex stakeholder requirements, and ensuring solutions meet high standards of performance, governance, and regulatory compliance.

To be successful as a Quantitative Analyst Vice President (VP) , you should have:

- Experience developing and applying quantitative models in areas such as Treasury, Asset & Liability Management (ALM), Liquidity Risk, Customer Behaviour, or Market Risk disciplines to generate commercial insights for business stakeholders.
- Outstanding stakeholder management and communication skills, with experience working across global teams and engaging with senior stakeholders in Risk, Business, and Technology functions.
- Proven ability to translate business requirements into executable delivery plans, manage critical dependencies, and drive outcomes in complex environments.

- Extensive development experience in Python, including data processing (e.g. with pandas, polars, or similar), and handling complexity (e.g. through multi-processing, or caching).
- Experience with software architecture and databases. Understanding shared codebase best practices and the cost of in-house modelling software development.

Some other highly valued skills may include:

- Experience supporting a range of banking portfolios, including retail and wholesale lending, deposits, Treasury, and financial markets businesses.
- Knowledge of liquidity and interest rate risk frameworks, such as LCR, NSFR, NII Sensitivity, Economic Value of Equity (EVE), VaR methodologies, and tail risk analysis.
- Experience working with large and complex datasets within financial institutions, including implementing solutions to address data quality, governance, and integrity challenges.
- Experience producing model documentation and supporting Model Validation, Internal Audit, or other regulatory review processes governing advanced quantitative models.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, strategic thinking, stakeholder management, and quantitative analytics, as well as job-specific technical skills.

This role is based in our office in Prague.

Entry Salary: 1,900,000.00 CZK

Upper Salary: 2,500,000.00 CZK

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.