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.

 

Global Banking and Markets Division

Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced and changing environments.

 

Your Impact

As a Strat who sits in the Global Banking & Markets Division, you will play an integral role in the Credit Trading business. You may develop automated trading algorithms for the firm and its clients or create cutting-edge pricing models to provide insight into market behavior. You might be involved in analyzing exposures and structuring transactions to meet client needs or involved in designing and developing complex parallel computing architectures, electronic trading tools and advanced algorithms. Throughout the Global Banking and Markets Division, Strats use quantitative and technological techniques to solve complex business problems. 

 

Job Summary

Candidates joining the Credit Systematic Market Making (SMM) are engaged in market making and its related functions in Credit and Muni products. The desk offers liquidity primarily in a principal capacity and trade with clients via vendor platforms and directly with clients intermediated by sales. Strats combine their programming, mathematical and market expertise to build and generate systematic strategies. The desk looks for individuals with strong programming experience, mathematical skills and who are motivated to get hands on experience with algorithmic trading. 

 

Responsibilities

Automate common desk workflows, streamline trading processMake quantitative improvements to existing trading strategies, build new modelsUnderstand and analyze market microstructure, incorporate findings into trading strategies

 

Basic Qualifications 

Programming experience in C++, Java, or PythonBachelors or Masters in a STEM areaExperience building large software systems and working with large data setsInterest in algorithmic trading

 

Preferred Qualifications  

Past experience with developing large, scalable systems

 

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.