Quantitative Execution Scientist – Multi-Asset Trading

Trexquant-Investment-Lp; Stamford (CT); On-site; USD 130,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Dependent premiums covered

Job summary

Trexquant seeks a Quantitative Researcher to join the Execution team, responsible for compiling and analyzing execution data across asset classes, and building market impact models to minimize costs and boost performance.

You will collaborate with traders, researchers, and operations to develop, test, and refine execution strategies, presenting results to senior researchers. Strong Python skills and 3+ years in electronic execution are required.

Qualifications

• 3+ years of experience in an electronic execution role within a quantitative trading company.
• Bachelor's, Master’s, or Ph.D. in Mathematics, Statistical Modeling, Computer Science or related STEM fields.
• Strong quantitative skills, detail-oriented, proficient in Python programming.

Responsibilities

• Optimize daily execution of multi-billion notionals across equities, futures, and expanding asset classes.
• Develop tools to analyze execution data across trading instruments.
• Manage and update trading cost and market impact models across asset classes.
• Extract actionable insights from recent execution performance and history.
• Develop hypotheses and design studies to improve trading and present results to senior researchers.
• Collaborate with brokers to implement new execution strategies to reduce costs and improve fill rates.
• Work with Operations to ensure best execution services provided by brokers.

Skills

Python programming

Quantitative analysis

Data analysis

Education

Bachelor's/Master’s/Ph.D. in STEM

Tools

Python

Job description

Trexquant seeks a Quantitative Researcher to join the Execution team, responsible for compiling and analyzing execution data across asset classes, and building market impact models to minimize costs and boost performance.

You will collaborate with traders, researchers, and operations to develop, test, and refine execution strategies, presenting results to senior researchers. Strong Python skills and 3+ years in electronic execution are required.