Vice President, Model Risk Management II

Vice President, Model Risk Management II

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, Model Risk Management II to join our Model Risk Management team. This role is located in Chennai, TN- Hybrid.

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

• Perform validation of AI/ML models, including machine learning, artificial intelligence, and applications of Large Language Models by reviewing 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 to ensure model integrity and compliance.
• Provide ad-hoc review and validation of traditional quantitative models (econometric, statistical, pricing) as needed.
• Identify model-specific risks and 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 such as Engineering, Mathematics, Physics, Statistics, Econometrics, or Data Science.
• 4-5 years experience post-Master's degree (PhD holders with relevant research experience may qualify).
• Strong theoretical foundation in ML/AI techniques including supervised, unsupervised, and deep learning methods.
• Hands-on experience with ML/AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and XGBoost.
• Programming proficiency in Python or R (MATLAB or similar acceptable).
• Excellent communication and presentation skills with the ability to explain complex concepts to non-technical stakeholders.
• Keen interest in financial engineering, market-product modelling, econometrics, data science, or AI.
• Preferred qualifications include: Prior model-validation experience in ML/AI, Credit, Market, Treasury, or Pricing risk.
• Exposure to CCAR, CECL, or IFRS 9 regulatory frameworks.
• Proven track record applying advanced ML/AI methods such as NLP, computer vision, or reinforcement learning.
• Detail-oriented, results-driven, and highly productive in fast-paced teams.
• Previous experience in financial services and model governance.

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

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 is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.