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Job Summary & Responsibilities YOUR IMPACT Goldman Sachs is building a new platform for systematic equities trading. The platform includes both low-latency trading components and a strategy reasearch platform to collect and analyse large amounts of market data, allowing the implementation and refinement of systematic trading strategies. The platform is in its early stages and is looking for a skilled, enthusiastic data scientist to help build it.
OUR IMPACT 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. Equities Systematic Market Making Strategists play a critical role in defining and running automated trading strategies. There are complex challenges on both modelling and technological fronts. On the modelling side, large amounts are data are analysed in order to understand market behaviour, allowing the research and backtesting of systematic strategies. On the technology side, we operate in a latency-critical environment, building connectivity to external trading venues and developing a research platform to collect and analyse huge amounts of data.
HOW YOU WILL FULFILL YOUR POTENTIAL
Enhance our proprietary strategy research platform, including historical market data replay
Manage huge amounts of data required for back-testing intraday trading strategies
Develop ways to better understand realised and projected strategy performance
Have the opportunity to be involved with all aspects of a highly automated, high volume trading ecosystem
Understand GS principal liquidity provision strategies
SKILLS & EXPERIENCE WE'RE LOOKING FOR BASIC QUALIFICATIONS
Strong academic background with MS/PhD degree in quantitative subject such as CS, Maths
Data analysis techniques
In-depth knowledge of at least one of: Python, C++, Java
Background in statistics and data science
Scientific use of Python and associated packages
Previous experience of developing research platforms in a commercial environment