QRM Modelling Developer - 12 Month FTC

  • Jobtailor
  • Leeds, Yorkshire
  • 19/07/2026
Full time Information Technology Telecommunications SQL Python Testing

Job Description

Responsibilities
  • Build and maintain models for Net Interest Income (NII), and Market Value (MV) calculations
  • Establish and build effective relationships with Risk and Finance partners to support the delivery of business assumptions into QRM and supporting stress testing.
  • Lead change and testing efforts for QRM model enhancements, including UAT planning and execution
  • Producing and completing test output governance, including documentation.
  • Collaborate with Treasury, Risk, and Finance partners to gather requirements and deliver model improvements.
  • Ensure models align with regulatory expectations (e.g., ICAAP, SOTs, stress testing) and internal governance standards.
  • Manage and minimise operational risks via robust control frameworks underpinning processes
  • Continuously strive for process improvements to enable time for value adding activity and qualitative review
  • Support agreed change initiatives to deliver agreed objectives of IRRBB team
  • Support simplification of the ALM model and continued development of model assumptions, including the development of dynamic modelling and back testing.
Qualifications
  • 2+ years' experience using SQL with ability to demonstrate strong understanding of QRM Modelling.
  • 2+ years' experience with Excel functionality and capabilities to proactively review, challenge and streamline existing models or build new modelling capability.
  • 12 months or more proven knowledge of Retail Banking Products.
  • At least 2 years' experience in confidently explaining technical topics both verbally and in business commentaries.
  • 12 months or more proven ability to debate and influence with senior stakeholders.
  • Proven experience within the last 12 months of a high level of intellectual capacity driving an ability to grasp new techniques quickly.
  • At least 12 months experience of key Market Risk management techniques including: Net Interest Income Sensitivities Market Value Basis Risk Stress Testing
  • Experience using Python to build/maintain models is a plus.