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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 #Life AtBNY 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:
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Perform validation of AI/ML models with a primary focus on machine learning and artificial intelligence models, including applications of Large Language Models.
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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.
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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.
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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:
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Master’s degree or PhD in a quantitative discipline such as Engineering, Mathematics, Physics, Statistics, Econometrics, or Data Science.
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Strong theoretical foundation in ML/AI techniques including supervised, unsupervised, and deep learning.
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Hands-on experience with ML/AI frameworks and libraries such as Tensor Flow, Py Torch, scikit-learn, and XGBoost.
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Programming proficiency in Python or R (MATLAB or similar acceptable).
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Excellent communication and presentation skills with the ability to explain complex concepts to non-technical stakeholders.
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Keen interest in financial engineering, market-product modelling, econometrics, data science, or AI.
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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:
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BNY Newsroom
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BNY LinkedIn
Here’s a few of our recent awards:
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America’s Most Innovative Companies, Fortune, 2025
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World’s Most Admired Companies, Fortune 2025
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“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.
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About BNY Mellon

BNY Mellon
PublicBNY Mellon is a global investment company and one of the world's oldest banks, providing investment management and investment services to institutions, corporations and high-net-worth individuals. The company serves as a custodian for assets and provides treasury services, fund administration and other financial services.
10,001+
Employees
New York City
Headquarters
Reviews
4.0
31 reviews
Work Life Balance
3.4
Compensation
4.8
Culture
3.9
Career
4.1
Management
3.5
78%
Recommend to a Friend
Pros
Prestigious brand and networking opportunities
Excellent compensation and bonus structure
Exposure to complex financial systems
Cons
Work-life balance can be difficult
Legacy technology in some areas
High-pressure environment with strict deadlines
Salary Ranges
30 data points
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Junior/L3 · Associate Client Reporting Performance I
1 reports
$70,635
total / year
Base
$61,422
Stock
-
Bonus
-
$70,635
$70,635
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
HR/Recruiter Screen
4
Technical Interview
5
Behavioral Interview
6
Final Round/Superday
Common Questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
News & Buzz
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