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Vice President, Model Risk Management at BNY
Pune, tamil nadu, India -
Full Time

Start Date

Immediate

Expiry Date

31 Mar, 26

Salary

0.0

Posted On

31 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Artificial Intelligence, Deep Learning, Python, R, TensorFlow, PyTorch, Scikit-learn, XGBoost, Model Validation, Financial Engineering, Market-Product Modelling, Econometrics, Data Science, Communication Skills, Presentation Skills

Industry

Financial Services

Description
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.

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Responsibilities
The Vice President of Model Risk Management will oversee the development and validation of models used in risk management. This role requires strong expertise in machine learning and artificial intelligence techniques.