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JobsBNY Mellon

Vice President, Data Management & Quantitative Analysis Manager

BNY Mellon

Vice President, Data Management & Quantitative Analysis Manager

BNY Mellon

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:

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

BNY 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