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Associate, Data Management
2 weeks ago
Job Description
Associate, Data Management & Quantitative Analysis I
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 and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what is all about. Join us and be part of something extraordinary.
We're seeking a future team member for the role of Associate, Data Management & Quantitative Analysis I to join our Asset Management Division, FSG Quants team. This role is located in Pune, MH – HYBRID.
In this role, you'll make an impact in the following ways:
- Act as a key liaison between the Quant Team, Client Team, and Portfolio Managers, providing analysis that supports client communications and trading decisions.
- Apply quantitative skills to solve complex problems for LDI clients, including liability modelling and benchmark changes, while maintaining the highest quality standards.
- Identify and escalate any issues or discrepancies in results to ensure accuracy and reliability.
- Understand and apply investment guidelines and relevant processes/calculations as necessary.
To be successful in this role, we're seeking the following:
- Bachelor's degree in actuarial science, finance, statistics, or mathematics.
- Minimum 3-5 years' work experience in a similar or related role with a top-tier firm, such as insurance/actuarial (pricing, actuarial modelling, pensions), investment banking (interest rate derivative sales, trading, and research), or financial services (asset and risk management).
- Strong knowledge and experience in actuarial modelling and processes, preferably with UK pensions.
- Solid understanding of interest rate and inflation risk and techniques to quantify these risks.
- Deep understanding of fixed income, derivative markets, and hedging/LDI techniques.
- Ability and desire to apply numerical skills in the workplace; candidates with mathematics, economics, statistics, and/or actuarial background preferred.
- Ability to work collaboratively in a team environment, coordinating with both UK and Pune team members.
- Strong quantitative skills and fluency in English; preferably holding or progressing towards actuarial or investment designations (e.g., CFA).
- Proficiency in Excel and strong verbal and written communication skills to clearly articulate modelling processes, assumptions, and analyses.
- Detail-oriented, deadline-driven, with strong analytical skills and a commitment to operational risk management and work ethic.
At BNY, our culture speaks for itself, check out the latest BNY news at:
BNY Newsroom
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Here's a Few Of Our Recent Awards
America's Most Innovative Companies, Fortune, 2024
World's Most Admired Companies, Fortune, 2024
Human Rights Campaign Foundation, Corporate Equality Index, 100% score,
Best Places to Work for Disability Inclusion, Disability: IN – 100% score,
"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.
