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Senior Vice President, Data Management & Quantitative Analysis Manager

Senior Vice President, Data Management & Quantitative Analysis Manager

ConfidentialPune, India
30+ days ago
Job description

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world's financial system we touch nearly 20% of the world's investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.

We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what is all about.

We're seeking a future team member for the role of Senior Vice President, Data Management & Quantitative Analysis Manager in Markets team. This role is located in Pune, MH – Hybrid.

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.
  • Team lead for Quant Developer to drive quantitative business solutions.

The Successful Candidate Will Demonstrate / possess

  • 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. Here's a few of our awards :

  • America's Most Innovative Companies, Fortune, 2024
  • World's Most Admired Companies, Fortune 2024
  • Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024
  • Best Places to Work for Disability Inclusion , Disability : IN – 100% score, 2023-2024
  • 'Most Just Companies', Just Capital and CNBC, 2024
  • Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024
  • Bloomberg's Gender Equality Index (GEI), 2023
  • 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.

    Skills Required

    VaR, CCAR, scenario analysis, Object Oriented Analysis, Python

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