Role/Responsibilities

• 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.