This role within Barclays will be part of Quantitative Analytics (QA) Treasury team with particular focus on supporting Barclays Treasury business in areas like Asset and Liability Management, Liquidity, Collateral and Hedge Accounting Management with the development and delivery of various quantitative models used for internal risk management and regulatory exercises. The role focuses on Python‑based quantitative models that project balance sheet cash flows, liquidity risk and hedge accounting metrics under stress and resolution‑type scenarios and requires close collaboration with Treasury Finance, Risk and Technology partners to deliver robust, well‑controlled models in a regulated environment.
Key Responsibilities
- Develop and maintain quantitative risk models to support Treasury business with particular focus on liquidity risk, collateral projection and hedge accounting metrics.
- Perform data analysis, validation and reconciliation across complex balance sheet and transaction‑level datasets.
- Provide quantitative and analytical support to Finance and Risk stakeholders with regulatory and supervisory exercises.
- Ensure models are stable, well‑tested, delivered in tight timelines and support their documentation and validation.
- Provide production support for testing and release of model packages in collaboration with Technology partners.
Skills & Experience Needed
- Strong analytical skills and quantitative background with a Master’s degree or higher in a quantitative field.
- Solid understanding of financial mathematics, including cashflow modelling, discounting and fixed income instruments.
- Good experience of mathematical modelling and development experience in financial industry.
- Good experience of hands‑on programming experience in Python.
- Experience working with large datasets and quantitative analysis.
- Strong communication skills, with the ability to explain technical topics to non‑technical stakeholders.
Other Highly Valuable Skills And Experience
- Experience with asset and liability management, liquidity risk, collateral, hedge accounting or regulatory reporting or exposure to IRRBB and ICAAP VaR models.
- Detailed knowledge of financial products, in particular fixed income products as well as retail banking products, and risk methodologies.
- Strong background in financial mathematics, asset pricing theory, and statistics.
- Experience supporting production models in a controlled or regulated environment.
- Awareness of model risk, controls or governance frameworks.
- Proactive, good communication skills, team player, creative, result‑oriented.
What We’re Looking For
- A hands‑on quantitative analyst with strong attention to detail and controls.
- Someone comfortable working across Finance, Risk and Technology.
- A candidate motivated to grow within QA Treasury and Quantitative Analytics.
Location: London
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.
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