Senior Quantitative Model Validation Analyst - XVA / CVA

C
CapitexCapital Markets, Risk Management
United Kingdom. United Arab Emirates. France. Germany. Saudi ArabiaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years’ experience
Required Skills
PythonData AnalysisMatlabC++R

Requirements

  • 5+ years’ experience in Quantitative Analytics, Model Validation or Model Development within a bank or financial institution
  • Strong hands-on exposure to XVA / CVA modelling
  • Experience covering at least one of: Interest Rate Derivatives, FX Derivatives, Equity Derivatives, Commodities, Fixed Income, Non-linear / Exotic products
  • Strong understanding of stochastic calculus, pricing theory and risk-neutral valuation
  • Familiarity with regulatory frameworks (Basel, SR 11-7 equivalent frameworks, local GCC regulations advantageous)
  • Strong programming skills (Python, C++, MATLAB, R or similar)
  • Experience reviewing model documentation and conducting independent validation reports
  • Technical Skills: Monte Carlo simulation
  • Technical Skills: PDE methods
  • Technical Skills: Numerical methods for derivatives pricing
  • Technical Skills: Counterparty credit risk modelling
  • Technical Skills: Exposure simulation frameworks
  • Technical Skills: Greeks and sensitivities analysis
  • Technical Skills: Strong data analysis capability
  • Master’s or PhD in Quantitative Finance, Financial Mathematics, Mathematics, Physics, Engineering or similar quantitative discipline

Responsibilities

  • Independently validate pricing and risk models across one or more asset classes: Interest Rates, FX, Equities, Commodities, Fixed Income, Non-linear / Exotic Derivatives
  • Review and challenge XVA frameworks including CVA, DVA, FVA, and related counterparty credit risk methodologies
  • Perform independent benchmarking, sensitivity analysis, stress testing and model performance assessments
  • Assess model assumptions, limitations, and implementation risks
  • Review model documentation and ensure alignment with regulatory expectations
  • Engage with Front Office, Market Risk, Credit Risk and Model Development teams
  • Support regulatory submissions and internal governance processes
  • Contribute to model risk framework enhancements
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