Jobs
Vice President, AI/ML - Model Risk Analytics
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 Vice President to join our Model Risk Analytics, AI & Solutions team within Risk & Compliance. This role is located in Pune.
In this role, you’ll make an impact in the following ways:
- Design and build AI/ML and GenAI solutions that transform model risk processes.
- Develop digital employees and intelligent automation to streamline validation, monitoring, and reporting.
- Apply advanced techniques—LLMs, NLP, predictive modeling—to elevate decision-making.
- Partner with risk, compliance, and tech teams to integrate AI into enterprise workflows.
- Translate complex data and model insights into clear business recommendations.
To be successful in this role, we’re seeking the following:
- Master’s Degree in a quantitative discipline, including engineering, mathematics, physics, statistics, econometrics.
- Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling.
- Solid understanding of the ML lifecycle; exposure to model risk or governance is a plus.
- Ability to solve ambiguous problems with scalable, innovative solutions.
- Clear communicator who can influence cross-functional partners.
- Curiosity, creativity, and eagerness to experiment with new AI capabilities.
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.
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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
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Data Scientist L2
0 reports
$74,866
total / year
Base
$29,946
Stock
$37,433
Bonus
$7,487
$52,406
$97,326
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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