Research and develop in-house trading strategies, used by both discretionary and quantitative traders.
Conduct quantitative research on market microstructure, applying knowledge to improve trading algorithm and identify market anomalies.
Develop and maintain predictive models to optimize trade execution and minimize transaction costs, utilizing both linear and non-linear techniques.
Collaborate with cross-functional teams, including portfolio managers and researchers, to design and implement solutions for the trading strategies.
Stay current and report on changes in market microstructure.
Requirements
Master's degree or higher in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, or a related discipline.
A minimum of 2 years of experience in quantitative research, building statistical models for intraday study.
Solid understanding of market impact.
Proficiency in programming languages such as Python and C++. Experience in AWS is preferred.
Strong knowledge in macro products, including FX and bonds, is a plus.
Commitment to the highest ethical standards.
The annual base salary range is $125,000-200,000 (USD). Actual compensation offered to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level among other things. Details about eligibility for bonus compensation (if applicable) will be finalized at the time of offer.
Numbers & Facts
Location
New York, NY
Salary
$125,000–$200,000 Per Year
Skills
Algorithmsunmatched
Amazon Web Services (AWS)unmatched
Bond Marketunmatched
C++ Programming Languageunmatched
Computer Scienceunmatched
Cross-Functionalunmatched
Financeunmatched
Investment Managementunmatched
Market Researchunmatched
Mathematicsunmatched
Predictive Modelingunmatched
Programming Languagesunmatched
Python Programming/Scripting Languageunmatched
Quantitative Market Researchunmatched
Quantitative Researchunmatched
Research & Development (R&D)unmatched
Statistical Modelingunmatched
Statisticsunmatched
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