Lead the Model Risk Governance and Review (MRGR0 group for Asset and Wealth Management (AWM)
Manage a team responsible for the validation and risk governance of all quantitative and qualitative models used across AWM.
Supervise model validation, including model reviews and model risk measurement:
Model reviews: Evaluate conceptual soundness of model specification; assess the reasonableness of assumptions and reliability of inputs; ensure completeness of testing performed to support the correctness of the implementation; examine the robustness of numerical aspects; and check the suitability and comprehensiveness of performance metrics and risk measures associated with use of model.
Model risk measurement: Design experiments to measure the potential impact of model limitations, parameter estimation error or deviations from model assumptions; compare model outputs with empirical evidence and/or outputs from model benchmarks.
Stay informed about the latest developments in AWM/industry in terms of modeling techniques, products, markets, models, model risk management practices and industry standards.
Set direction, including providing training for junior members of the team and facilitating their learning and development.
Lead the end-to-end model risk management of model validation of Machine Learning (ML) within AWM, being proficient in the technical aspects of ML, understanding the strengths and limitations of ML techniques, being able to articulate whether the choice of an ML technique is appropriate, and having a practitioner’s understanding of their regulatory requirements.
Required Qualifications, Skills and Capabilities
10+ years' of relevant experience, with at least 5+ years of experience in applied quantitative research or model development demonstrating expertise in leadership.
In depth knowledge of economics, econometrics, statistics, numerical methods.
Product domain expertise in Asset and Wealth Management
Excellent analytical and problem-solving abilities.
Risk & Control mindset: Inquisitive nature, bias for action, ability to ask the right questions, escalate issues promptly and drive resolution.
Excellent communication skills (written and verbal).
PhD or Master’s degree in quantitative disciplines such as Economics, Finance, Econometrics, Statistics, or similar.