Quantitative Developer, GUAS

What you’ll do day-to-day

Apply mathematical techniques to research, develop, and maintain software that implements statistical models, investing, and trading for computerized financial strategies.

Generate ideas, define research agendas, conduct modeling research, and create and improve investment systems.

Design, develop, and deploy distributed real-time systems and tools to support Equities trading, back office activities, and trading systems support engineers in day-to-day operations.

Provide real-time trading systems operational support through on-call rotations.

Who we’re looking for

Three years of experience working with ETF prospectuses and NAV modelling; convertible bonds; stock short sale volume data; order entry protocols including FIX, Nasdaq OUCH, and NYSE Pillar; developing generative AI tools with LangChain and prompt engineering; real-time Equities trading systems support; performance optimization techniques in Java and Python, including profilers and numba; statistical data analysis, including linear regression and significance testing; optimizing data storage for read/write performance on distributed workloads; building market simulators for backtesting trading strategies and forecasts; building monitoring software for data integrity and coverage; the full software development life cycle, including unit testing, code review, and post-deployment validation; programming experience in Python, Java, C++, and bash on UNIX systems.

A bachelor’s degree in computer science or a related field of study.

The annual salary for this position is $275,000 - $275,000. Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401k contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program.

The D.E.Shaw group is an equal opportunity employer.

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