Quantitative Engineering

Job Description

Equities Systematic Volatility Trading Strats

In Goldman Sachs, quantitative strategists are at 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 provide invaluable quantitative perspectives on complex financial and technical challenges that power our business decisions.

We are a team of desk strategists who work to transform the ETFs business 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 ETFs 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 salespeople on the trading floor.

Role Responsibilities

• Automate pricing of ETFs, 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, supporting 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 analytical skills with experience in quantitative modeling and data analytics.
• 5.5 years experience.
• Strong programming skills in an object-oriented or functional paradigm, with particular strength in Java, Python, and its core concepts.
• Self-starter who can work with minimum guidance, ability to manage multiple priorities and work in a high-pressure environment.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Experience implementing data-driven, streaming market-making models, working with large scale time series and dimensional data.
• Previous quantitative or technical role working on or with a derivatives market-making desk (irrespective of asset class).
• Knowledge of building automated trading systems and researching signals for use in a live trading environment. Experience with machine learning is a plus.
• Experience with real-time systems/messaging infrastructures.
• Familiarity with build/deployment/runtime tools e.g. Gradle, Maven, Git, Spring, Kubernetes.

ABOUT GOLDMAN SACHS

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

Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Disability Statement

The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Locations - Opportunity Overview

• Corporate Title: Vice President
• Office Location(s): Bengaluru
• Job Function: Quantitative Engineering
• Division: Global Banking & Markets

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