Director Model Review and Model Validation,
The Model Validation Group runs the Model Risk Governance Program, which supports and implements the Model Risk Governance Policy for mitigating model risk.
The Director Model Review and Model Validation will play a supervisory role in the MVG, focusing on reviews of models to make business and operating decisions—most notably regulatory and economic capital models, as well as insuring the implementation of Model Risk Governance Program guidelines and requirements. These models are in areas including wholesale credit risk (e.g., probability of default, loss given default, exposure measurement, and loan loss reserving); market risk (e.g., daily value at risk pricing models, counterparty credit risk, ALM risk, and terms structure models); and operational risk.
Director Model Review and Model Validation will lead and participate in model validation activities to ensure model risk is correctly identified, assessed and captured by:
- Providing leadership within the Model Validation Team, in terms of managing Senior Quantitative Analysts and Quantitative Analyst, ensuring deadlines and deliverables are met as well as training and developing the Team.
- Assisting on the assessment of model validation needs and manage the process to achieve desired goals and objectives of the Department.
- Providing leadership in assessing the model theory and assessing the model assumptions as well as consider model methods and potential options.
- Ensuring the Model Validation Team has tested the model and will confirm the model results.
- Ensuring the models have proper documentation regarding the procedures for running the model(s).
- Overseeing the review code documentation for proper model implementation, including the possible simulation of results.
- Working with data validation members and information technology professionals to determine model data integrity.
- Representing the MVG in high-level meetings and may provide assistance to Business Units by making recommendations and suggesting improvements related to the applicability of the different models assessed and their meeting their objectives.
Requirements
- PhD, in Finance, Economics or Math.
- In-depth understanding of methodologies in the modeling areas described above for State Street.
- Excellent quantitative modeling, analytical, research and programming skills (C++, SAS, Matlab).
- Minimum of 8+ years of related experience in relevant applied modeling techniques.
- Prior leadership role in leading teams, meeting deadlines and presenting results to executives.
- Demonstrated management and leadership skills.
- Formal modeling experience, a plus.
- Strong communication skills.
- Good project management skills, with the ability to work independently on multiple tasks and/or projects.
- Knowledge of financial markets and products.
- Detail oriented.
For further information please contact Sophie Good on 020 7025 0420. Alternatively via email Sophie.Good@AnsonMcCade.com