Evaluate conceptual soundness of model specifications, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability and comprehensiveness of performance metrics and risk measures
Perform independent testing of models by replicating or building benchmark models
Design and implement experiments to measure the potential impact of model limitations, parameter estimation errors, and deviations from model assumptions; compare model outputs with empirical evidence or outputs from model benchmarks
Document the model review findings and communicate them to stakeholders
Model Governance
Serve as the first point of contact for model governance related inquiries for the coverage area, and help identify and escalate issues to ensure that their resolutions are sound and timely
Provide guidance on the appropriate usage of models to model developers, users, and other stakeholders in the firm
Stay abreast of the ongoing performance testing outcomes for models used in the coverage area, and communicate those outcomes to stakeholders
Maintain the model inventory and model metadata for the coverage area
Keep up with the latest developments in coverage area in terms of products, markets, models, risk management practices, and industry standards
Minimum Skills, Experience and Qualifications:
A Ph.D. or Master’s degree in a quantitative field such as Math, Physics, Engineering, Computer Science, Economics or Finance is required
Strong analytical and problem-solving abilities
Proficient in Python, R, Matlab, C++, or other programming language
Understanding of options and derivative pricing theory and risk
Strong communication skills with the ability to interface with front office traders, and other functional areas in the firm on model-related issues; and produce documents for internal and external (regulatory) consumption