Work closely with traders, analysts, and developers
to create production level tools to mine data,
identify opportunities, and ultimately enable
new approaches to trading. Successful candidates
must enjoy utilizing their extensive quantitative/statistical
analysis and software development backgrounds
to design and implement tools that extract additional
value from a large database of proprietary financial
-Analyze historical databases to find methods
to optimize trading strategies.
-Implement quantitative methods to improve valuation
tools and libraries.
-Enhance back testing simulation infrastructure.
-Collaborate and communicate effectively with
traders in defining and prioritizing technical
-Proficient (3-5 years minimum) with Python
and SQL (language).
-Experience implementing machine learning techniques,
time series analysis, digital signal processing,
statistics and applied mathematics in a commercial
-Strong background with statistical programming
packages (ie. R, S, Matlab).
-Experience manipulating and maintaining large
-Excellent communication skill.
-Ability to work in a self-directed environment.
-Ability to travel occasionally.
-Extensive statistical knowledge through academia
or work experience.
-Advanced degree preferred.
Jobs, Chicago, Quantitative developer, Quant,
Matlab, Python, SQL
For more information about this opportunity
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