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, 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:
[BNY Newsroom]
[BNY LinkedIn]

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 your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

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