Remote Opportunity
Vice President, Model Risk Management
Join BNY as a senior professional working remotely from India. Explore the role, benefits, and apply in one place.
Full Time
$120,000 - $180,000*
2026-03-02
India
Job Description
Vice President, Model Risk Management
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, 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 Model Risk Management Specialist to join our Risk & Regulatory Compliance team. This role is located in Pune.
In this role, you’ll make an impact in the following ways:
Perform validation of AI/ML models with a primary focus on 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; perform validation of GenAI and agentic AI models, and facilitate the formulation of policies, procedures, and automation for these models.
Provide ad-hoc review and validation of traditional quantitative models, identify model-specific risks, propose and implement controls, collaborate with developers, conduct independent research on emerging AI/ML techniques, and prepare clear validation reports for 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.
Strong theoretical foundation in ML/AI techniques including supervised, unsupervised, and deep learning.
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.
Prior model-validation experience in ML/AI space, Credit, Market, Treasury, or Pricing risk.
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.
Requirements
- Master's degree or PhD in a quantitative discipline
- Strong theoretical foundation in ML/AI techniques
- Hands-on experience with ML/AI frameworks and libraries
- Programming proficiency in Python or R
- Excellent communication and presentation skills
- Keen interest in financial engineering, market-product modelling, econometrics, data science, or AI
- Prior model-validation experience in ML/AI space, Credit, Market, Treasury, or Pricing risk
Benefits
- 401k Matching
- Health Insurance
- Paid Time Off
- Performance Bonus
- Remote Work
- Stock Options
- Training Budget
- Wellness Programs
Skills
Python
TensorFlow
PyTorch
Scikit-learn
XGBoost
Machine Learning
Artificial Intelligence
About AI-Estimated Salary
The salary range shown was not provided by the employer. Our AI has estimated it based on the job title, required experience, location, and industry standards (confidence: 80%). This estimate should be used as a general guide only and may not reflect the actual compensation. Always confirm salary details directly with the employer during the application process.
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Salary Range (AI-Estimated)*
$120,000 - $180,000
80% confidence
Posted 2026-03-02
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