Algorithms, C++, Data cleaning / Data cleansing, Data pipelines, Data science techniques, Effective communication skills, IT, Large data sets, Linux Operating system, Mathematical modeling, NumPy, Pandas, Python Programming, Software Development
SIG is seeking a Data Engineer to work with petabytes of historical market data on a cluster with thousands of cores. In this role, you will be working on a team responsible for managing the data pipeline in generating rich data sets used by Equity and Futures strategies. As a hybrid data engineer/software engineer, you are building tools that analyze large data sets which directly impact and optimize our trading behavior and results. This is a highly visible team that works with traders and quantitative research strategists to provide key information used in trading.
As a member of this team, you will:
What we’re looking for
SIG does not accept unsolicited resumes from recruiters or search firms. Any resume or referral submitted in the absence of a signed agreement will become the property of SIG and no fee will be paid.
SIG is a global quantitative trading firm founded on a platform of intellectual curiosity. We bring together the brightest minds, cutting-edge technology, and expansive sets of data to solve incredibly challenging problems. We commit our own capital to trade financial products around the clock and around the globe, and we innovate by building virtually all of our own trading technology from scratch. Our traders, quantitative researchers, and tech
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