Vice President, Model Risk Management I

1 week ago

Chennai, India BNY Full time

Vice President, Model Risk Management Analyst I

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 worlds 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 >

Were seeking a future team member for the role of Vice President,Model Risk Management I to join our Model Risk Management team. This role is located in Chennai, TN- Hybrid.

In this role, youll make an impact in the following ways:

  • Perform validation of AI/ML models (primary focus), including machine learning and artificial intelligence models and 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, were seeking the following:

  • Masters degree or PhD in a quantitative discipline (Engineering, Mathematics, Physics, Statistics, Econometrics, Data Science).
  • 12 years experience post-Masters (PhD holders with relevant research may qualify).
  • 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.).
  • 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.

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