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Barclays Logo Barclays · IT - Software Development

Quantitative Model Developer

United Kingdom, London · Job Posted June 09, 2026
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Job Description

In Risk Barclays develops, recommends, and implements controls and cost-effective approaches to minimise Barclay's risks, identifies and analyses potential sources of loss to minimise risk and estimate the potential financial consequences of an occurring loss.

Job Responsibility

  • 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

Requirements

  • 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

Nice to have

  • 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
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