Job Description
- Validation of quant models, initially in IRB Credit Ratings and FRTB IMA space.
- Quantitative analysis and review of model frameworks, assumptions, data, and results
- Designing, modelling and prototyping challenger models when required
- Testing models numerical implementations and reviewing documentations
- Checking the adherence to governance requirements
- Documentation of findings in validation reports, including raising recommendations for model improvements
- Ensuring models are validated in line with regulatory requirements and industry best practice
- Tracking remediation of validation recommendations
Experience required:
- Experience in risk-modelling (model development or validation)
- Knowledge of IRB credit risk models
- Knowledge of Market risk modelling and of FRTB
- Experience with other risk models (Economic Capital, Stress Testing, etc.)
- Experience with Derivatives pricing models
Competencies:
- Strong background in Math and Probability theory - applied to finance
- Good knowledge of Data Science and Statistical inference techniques
- Good programming level in Python or R or equivalent
- Good understanding of financial products
- Computer simulations and numerical approximation methods
- Awareness of latest technical developments in financial mathematics, pricing, and risk modelling
- Modelling and pricing of financial derivatives
- Experience with C++ or C# or equivalent
- Up-to-date knowledge of regulatory capital requirements for market and credit risk