London | Hybrid (3 Days Office) | Contract
A leading global banking group is seeking a Contract Quantitative Analyst to join its Risk Analytics function, supporting the development and enhancement of Counterparty Credit Risk methodologies across a broad range of asset classes.
This is a highly visible role sitting within a specialist quantitative team responsible for exposure modelling, model performance, governance and strategic risk analytics initiatives. The successful candidate will work closely with Risk, Front Office, Technology and Model Validation teams.
Responsibilities
- Develop, maintain and enhance counterparty exposure models.
- Support methodologies covering Potential Future Exposure (PFE), Expected Exposure (EE) and Stressed Exposure measures.
- Perform model calibration, testing, performance analysis and backtesting.
- Investigate model issues and implement enhancements to improve robustness and accuracy.
- Support new product onboarding into the risk framework.
- Work with technology teams on model and system implementation changes.
- Address model validation findings and regulatory requirements.
- Prepare management reporting and contribute to governance forums.
- Support business stakeholders with quantitative analysis and exposure-related investigations.
- Contribute to strategic risk and modelling projects across the wider Risk function.
- Strong background in Counterparty Credit Risk, Exposure Modelling, xVA, Quantitative Risk or Model Validation.
- Experience working within investment banking or capital markets environments.
- Strong understanding of:
- Potential Future Exposure (PFE)
- Expected Exposure (EE)
- Counterparty Credit Risk methodologies
- Derivatives pricing principles
- Quantitative risk modelling techniques
- Experience with Monte Carlo simulation frameworks.
- Strong Python programming skills.
- Excellent understanding of probability, statistics and stochastic processes.
- Ability to explain model design, assumptions, calibration approaches and limitations in detail.
- Initial Margin or SIMM modelling.
- Securities Financing Transactions (SFTs).
- Exposure modelling across Rates, FX, Credit, Inflation or Equities.
- Knowledge of C++ or C#.
- Advanced quantitative qualifications (MSc, PhD, CQF, FRM or similar).
This opportunity would suit a hands-on quantitative analyst who enjoys owning models throughout their lifecycle, from development and calibration through validation, governance and ongoing enhancement.
