Vice President, Model Risk Management I

Vice President, Model Risk for AI

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Vice President to join our Model Risk Management team supporting AI validation. This role is located in Pittsburgh, PA. 

 

In this role, you’ll make an impact in the following ways: 

• 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. 

 

To be successful in this role, we’re seeking the following: 

• 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. 

At BNY, our culture speaks for itself, check out the latest BNY news at:

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 Here’s a few of our recent awards: 

• America’s Most Innovative Companies, Fortune, 2025
• World’s Most Admired Companies, Fortune 2025
• “Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards: 

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster yo