🕒 yesterday
Lead complex Australian mortgage credit assessments and loan structuring, advising Brokers and Advisers on lender policy, servicing, risk, and submission readiness while improving credit processes and supporting junior team members.
Senior Quantitative Model Validation Analyst - XVA / CVA (Remote)
📅 Mar 4
Quantitative AnalyticsModel ValidationXVACVA
📜 Description
- Independently validate pricing and risk models across one or more asset classes including Interest Rates, FX, Equities, Commodities, and Fixed Income.
- Review and challenge XVA frameworks including CVA, DVA, and FVA methodologies.
- Perform independent benchmarking, sensitivity analysis, stress testing, and model performance assessments.
- Assess model assumptions, limitations, and implementation risks.
- Engage with Front Office, Market Risk, Credit Risk, and Model Development teams.
🛠️ 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
- Strong understanding of stochastic calculus, pricing theory and risk-neutral valuation
- Familiarity with regulatory frameworks impacting model validation (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
- Monte Carlo simulation
- Numerical methods for derivatives pricing
- Counterparty credit risk modelling
- Exposure simulation frameworks
Full job description
About the Role
We are supporting leading banks and financial institutions across Saudi Arabia and the GCC who are strengthening their quantitative risk and model validation capabilities.
We are seeking experienced Quantitative Pricing / Model Validation professionals with strong exposure to derivative pricing models and XVA / CVA frameworks. This role is fully remote, working on high-impact projects across capital markets and risk functions.
This opportunity is ideal for technically strong quants who have validated or developed models across one or more key asset classes and want exposure to complex regional banking environments.
Key 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
Requirements
Required Experience
- 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 the following asset classes:
- 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 impacting model validation (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
- PDE methods
- Numerical methods for derivatives pricing
- Counterparty credit risk modelling
- Exposure simulation frameworks
- Greeks and sensitivities analysis
- Strong data analysis capability
Education
- Master’s or PhD in Quantitative Finance, Financial Mathematics, Mathematics, Physics, Engineering or similar quantitative discipline
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