Equity Quant Trader
This role offers a rare greenfield opportunity - unlike many E-Trading teams operating on legacy platforms, this group is building a modern, scalable infrastructure from scratch. This role will report directly to the Head of Electronic Trading and play a key role in the quantitative research and development of trading analytics. It's an ideal position for someone with an entrepreneurial mindset, that is eager to shape the foundation of a next-generation trading platform and gain meaningful experience in a high-impact, build-focused environment.
Responsibilities:
-Conduct market microstructure research in order to optimize algorithmic/order routing logic
-Utilize/work with tick data & order book data to develop trading signals
-Conduct transaction cost analysis
-Work collaboratively with cross functional teams in a fast-paced trading environment
Requirements/Preferred Skills:
-Familiarity with statistical models, time series analysis, transaction cost analysis & machine learning
-Must have at least a Master's degree in a STEM subject
-Preferred the individual has familiarity with equity trading but will consider exposure in other assert classes
-Python and KDB/Q (will consider candidates with C++/Java proficiency but KDB/Q is a must)
-Exposure to AWS cloud solutions for data analysis and management (this is preferred but not required)
- Must hold a Series 7 with willingness to obtain series 63 upon hire (big plus to have series 57)
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