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Job Description

Job Description

What We Do

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

Our global team is a fundamental part of the Prime Brokerage and Clearing Services groups under the Prime Services umbrella within the Securities Division. We drive major business decisions and run business critical systems in the following areas.

This role is focused on the buildout of analytics, logic, pricing tools and scalable workflows to incentivize optimal allocation of assets from HF Clients, improve the firm’s funding and capital efficiency, pricing and revenue optimization by analyzing large data sets and building quantitative models. Our teams work closely with securities lending, funding and the synthetics product desk in conducting transactions, and managing risk, identifying trade opportunities to improve our market and wallet share of the client franchise

While organized in different teams and locations, we pride ourselves in our teamwork across the globe and teams to find solutions that help our business thrive around the world. Our team members have a wide variety of quantitative academic and cultural! backgrounds. This diversity helps us to find innovative solutions for our complex business problems. It is an exciting time to join our growing team.

Basic Qualifications

Skills & Experience We’re Looking for

  • Strong academic in a relevant field - Mathematics, Engineering, Computer Science or Physics, including a quantitative understanding of statistics and probability
  • Strong programming skills in a modern programming language (C++, Python, Java or equivalent language) and familiarity with object-oriented design principles
  • Ability to work as part of a global team and deliver results quickly
  • Previous practical experience in solving mathematical/statistical/machine learning problems or data engineering and relevant infrastructure buildout
  • Comfortable working on multiple projects, demonstrating initiative and showing commercial impact

Preferred Qualifications

  • Strong written and verbal communication skills
  • Knowledge of financial markets, in particular, understanding of equities and equities financing products, and financial mathematics is a plus
  • Successful track record of building scalable systems with clearly defined SLAs in a financial setting.
  • Entrepreneurial spirit

Goldman Sachs Engineering Culture

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. Were committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2025. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity


Job Details

Role Level: Associate Work Type: Full-Time
Country: India City: Bengaluru ,Karnataka
Company Website: http://www.goldmansachs.com Job Function: Sales
Company Industry/
Sector:
Financial Services

What We Offer


About the Company

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