Job responsibilities
- Carries out model reviews: analyze conceptual soundness of complex pricing models, engines, and reserve methodologies; assess model behavior and suitability of pricing models/engines to particular products/structures
- Provides guidance on model usage and act as first point of contact for the business on all new models and changes to existing models
- Develop and implement alternative model benchmarks and compare the outcome of various models; Design model performance metrics
- Document the model review findings and communicate them to stakeholders
- Liaises with model developers, Risk and Valuation Control Groups and provide guidance on model risk
- Evaluates model performance on a regular basis
Required qualifications, capabilities, and skills
- Minimum of a Master's degree in Quantitative Finance, Mathematics, Physics or a related discipline
- Excellence in probability theory, stochastic processes, statistics, and numerical analysis
- Strong understanding of option pricing theory and quantitative models for derivatives
- Experience with Monte Carlo and numerical methods
- Strong analytical and problem-solving abilities
- Good coding skills, for example in C/C++ or Python
- Inquisitive nature with excellent communication skills
- Teamwork-oriented mindset
Preferred qualifications, capabilities, and skills
- Experience with pricing derivatives
- Experience in a front office or model risk quantitative role