Electronic Market Making Strats, Analyst/Associate/VP

As a strat who sits in the Securities Division, you will play an integral role on the trading floor. You may create cutting-edge derivative pricing models and empirical models to provide insight into market behavior, or develop automated trading algorithms for the firm and its clients. 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 Securities Division, strats are using quantitative and technological techniques to solve complex business problems.

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, changing environments and are energized by a bustling trading floor.

The Electronic Market Making (EMM) desk is engaged in principal trading of US-traded stocks, ETFs and equity index futures. Desk staff designs, develops and deploys models and trading algorithms related to stock and ETF market making on US exchanges. The group is vertically integrated, with desk staff responsible for both trading and engineering functions, and developing most of the front-office software needed for trading activity. We are currently hiring both quantitative developers and researchers to join EMM Strats in New York.

Quantitative developers design, develop and deploy software systems for electronic trading of stocks, ETFs and equity-index futures. These software systems implement trading algorithms, exchange connectivity, market data processing, position keeping and monitoring. Many of the systems are distributed and optimized for performance, and most are implemented in C++ and run on Linux. Quantitative Developers work closely with researchers, traders, system administrators and other staff members.

Quantitative researchers perform quantitative analysis related to electronic trading of stocks, ETFs and equity-index futures. Research may include data cleaning, calculation of descriptive and predictive statistics of stock and future prices, optimizing parameterization of trading algorithms and modelling trading costs. Research is primarily performed in Python, Perl or C++, and often involves dealing with large data sets.

Basic QualificationsQuantitative Developers:

Candidates with little or no industry experience are expected to have a solid foundation in computer science (though CS degree is not strictly required) and demonstrated interest in building software systems. Experienced candidates are expected to have a strong record of developing large-scale software systems in C++. Experience in Financial Services industry is not required, though interest in Finance and electronic trading is a plus.

Quantitative Researchers:

Researchers are expected to have strong programming background. While researchers work closely with software developers, ability to develop production-level C++ software is a strong plus. Candidates with little or no industry experience are expected to have a solid quantitative background (though advanced degree is not required), and strong communication and problem-solving skills. Experienced candidates are expected to have a strong record of quantitative research, especially in the context of profitable and successful equity trading businesses.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet. © The Goldman Sachs Group, Inc., 2015. All rights reserved.


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