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Model Validation- Quantitative Analyst (Central Clearing)

Posted 1 day 9 hours ago by Robert Walters UK

Permanent
Full Time
Academic Jobs
London, United Kingdom
Job Description
Overview

A prominent financial market infrastructure provider is seeking a Quantitative Analyst within its independent risk function. This is a hybrid role based in London, with three days per week in the office. The position sits within the second line of defence and focuses on the validation of models used to measure financial risk.

Responsibilities
  • Assess and challenge a wide range of risk models supporting central clearing across commodities and derivatives markets.
  • Test and validate models quantifying credit, market, and liquidity risk exposures.
  • Develop hands-on technical capability in Python and SQL, with strong knowledge of CCP risk frameworks.
  • Collaborate with first and second line teams; feed findings into governance processes, including model risk committees and senior management reporting.
  • Write clear validation reports, translate model behaviour into accessible insights, and ensure model use remains aligned with regulatory and policy expectations.
Qualifications
  • Advanced academic background in mathematics, physics, statistics, or engineering.
  • Practical experience in risk model validation or quantitative risk management; ideally within a CCP environment or financial institution supporting central clearing.
  • Hands-on experience with Python and SQL; strong domain knowledge of CCP risk frameworks.
About the job
  • Contract Type: Permanent
  • Workplace Type: Hybrid
  • Experience Level: Associate
  • Location: City of London
  • Focus: Risk - Market Risk
  • Industry: Financial Services
  • Salary: £100,000 - £115,000 per annum
Job details
  • Date posted: 23 July 2025
  • Job Reference: VF1SV2-0DF7D8A5

How to apply: If you meet the above criteria, please apply or send a copy of your CV to

Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates.

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