Job Description

Who We Are

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.

SPG Automation Strats

In Goldman Sachs quantitative strategists are a the cutting edge of our businesses, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and sales, strats' invaluable quantitative perspectives on complex financial and technical challenges power our business decisions. 

We are a team of desk strategists who work to transform the SPG business within Equities by automating the key decisions taken every day. Our team has a wide remit including automatic quoting, optimizing hedging decisions and developing algorithms to trade cash and derivatives on venues around the world.  We also deploy statistical analysis techniques and mathematical models to enhance the decision making process, with the overall aim of improving business performance while working closely with traders and sales people on the trading floor.

Role Responsibilities

• Automate pricing of derivative products, providing fast and accurate prices in response to quote requests from our clients. 
• Implement automated hedging algorithms, and build frameworks to manage risk centrally across asset classes.
• Perform systematic and quantitative analysis of franchise flows and market data, driving business decisions and the design of our automation platform.
• Work closely with sales and trading, support our automated pricing and trading systems.
• Be involved with all stages of the software development life cycle with a range of technologies, and collaborate closely with engineering teams who support the underlying infrastructure and frameworks,

Basic Qualifications

• Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science.
• Strong programming skills in an object oriented or functional paradigm such as C++, Java or Python.
• At least 3 years’ experience.
• Self-starter with strong self-management skills, ability to manage multiple priorities and work in a high-pressure environment.
• Excellent written and verbal communication skills.

   

Preferred Qualifications

• Previous quantitative or technical role working on or with a trading desk (irrespective of asset class).
• Knowledge of building automated trading systems in a live trading environment.

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. We're 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

', 'CorporateDescriptionStr' : '', 'OrganizationDescriptionStr' : '', 'ShortDescriptionStr' : 'Global Banking & Markets - Eqs Automation SPG Strats - Associate - Bengaluru', 'ContentLocale' : 'en', '