Vice President, Model Risk Management
BNY
100k - 175k USD/year
Office
New York, NY, United States
Full Time
- In Model Risk, we set enterprise standards for model development, validation, and approvals for financial and non-financial models at BNY.
- We rigorously interrogate ML/AI and traditional models, benchmark methodologies, and ensure controls to mitigate failure modes. Then, we report our findings regularly to Senior Management and the Board of Directors.
- We need you to Perform validation of AI/ML models (primary focus): machine learning and artificial intelligence models, including applications of Large Language Models:
- Review model architecture, feature engineering, hyperparameter tuning, and performance metrics.
- Design and execute tests for conceptual soundness, robustness, bias, and real-time performance monitoring via shadow frameworks.
- Assess AI explainability, fairness, and governance controls.
- Provide ad-hoc review and validation of traditional quantitative models (econometric, statistical, pricing) as needed.
- Identify model-specific risks; propose, implement, and document controls to mitigate those risks.
- Collaborate with developers to challenge assumptions, refine methodologies, and enhance model lifecycles.
- Conduct independent research on emerging AI/ML techniques and translate insights into validation best practices.
- Prepare clear, concise validation reports and present findings to senior stakeholders.
- Master’s degree or PhD in a quantitative discipline (Engineering, Mathematics, Physics, Statistics, Econometrics, Data Science).
- 1–2 years’ experience post-Master’s (PhD holders with relevant research may qualify) is required. Prior model validation experience in ML/AI space, Credit, Markets, Treasury, or Pricing risk are preferred
- Strong theoretical foundation in ML/AI techniques (supervised, unsupervised, deep learning).
- Hands-on experience with ML/AI frameworks and libraries (TensorFlow, PyTorch, scikit-learn, XGBoost, etc.) is required. Proven track record of applying advanced ML/AI methods (NLP, computer vision, reinforcement learning) is preferred.
- Exposure to CCAR, CECL, or IFRS 9 frameworks is nice to have
- Programming proficiency in Python or R (MATLAB or similar acceptable).
- Excellent communication and presentation skills; ability to explain complex concepts to non-technical stakeholders.
- Keen interest in financial engineering, market-product modelling, econometrics, data science, or AI.
- America’s Most Innovative Companies, Fortune, 2025
- World’s Most Admired Companies, Fortune 2025
- “Most Just Companies”, Just Capital and CNBC, 2025
BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $100,000 and $175,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.
Vice President, Model Risk Management
Office
New York, NY, United States
Full Time
100k - 175k USD/year
August 25, 2025