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, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!

 

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