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Vice President, Data Management & Quantitative Analysis Manager
Pune, MH, India; Chennai, Tamil Nadu, India
·
On-site
·
Full-time
·
1mo ago
Vice President, Data Management & Quantitative Analysis Manager
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, Data Management & Quantitative Analysis Manager in Markets team. This role is located in Pune.
In this role, you’ll make an impact in the following ways:
Responsibilities
- Work with desk strats and quantitative analytics team to develop, maintain and support C++/Python analytics libraries used for pricing and risk analytics.
- Pricing Model development and OPM review for Rates, FX and Equity models.
- Work closely with platform engineering team on integration of analytics libraries into firm's risk systems.
- Investigate market data, pricing and risk analytics issues.
- Work on implementation of AI based quantitative workflow solutions.
To be successful in this role, we’re seeking the following:
- Bachelor's/Master's degree in relevant technical discipline: Computer Science, Mathematics, Financial engineering. Finance related qualification like CFA, FRM, CQF etc. is an advantage.
- Excellent programming knowledge in Python/C++ with financial maths and quant development work.
- Excellent knowledge of FX and Fixed Income products pricing, yield curve construction, scenario analysis, sensitivities calculations, PFE, VaR, CCAR stress scenarios.
- Good knowledge of development of pricing and risk analytics systems and tools.
- Good knowledge of object oriented analysis and common design patterns.
- Excellent analytical and problem solving skills.
- Good communication skills and ability to work with trading desk and platform engineering teams.
- Front office experience involving FX and Rates
- Good knowledge about LLMs and AI based quants workflow solutions.
Preferred candidates:
- Top Tier colleges: IITs/BITs/NITs
- Professional experience with Investment Banking firms such as Goldman Sachs, JP Morgan, Morgan Stanley, Deutshce Bank etc.
- Professional certification in Finance: FRM, CQF or CFA.
At BNY, our culture speaks for itself, check out the latest BNY news at:
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
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