We are seeking a Quantitative Researcher to join our Execution team. In this role, you will be directly responsible for compiling and analyzing execution data in several asset classes, working on market impact models and trade cost analysis to minimize transaction costs and enhance performance of company portfolios. You will work closely with teams of traders, researchers, and operations to develop, test, and refine execution strategies that drive continuous improvement of our trading operations.
Responsibilities:
- Optimize daily execution of multi-billion notionals across equities, futures, and expanding list of asset classes
- Develop tools to continuously analyze execution data across various trading instruments
- Manage and update trading cost and market impact models across all our asset classes
- Extract actionable insights from recent execution performance along with years of history
- Develop hypotheses and design studies to further improve our trading; present results to senior researchers
- Work with brokers to implement new execution strategies to further improve transaction costs and fill rates
- Work with our Operations team to ensure best execution services provided by brokers
Requirements
- Bachelor's, Master’s, or Ph.D. degrees in Mathematics, Statistical Modeling, Computer Science or other related STEM fields
- 3+ years of experience working in an electronic execution role within quantitative trading company
- Strong quantitative skills, detail oriented, and proficiency in Python programming
Benefits
- Competitive salary, plus bonus based on individual and company performance
- Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets
- PPO Health, dental and vision insurance premiums fully covered for you and your dependents
Applications are open for both Stamford and New York City offices, the latter with a planned opening in September 2026.
The base salary for this role is $130,000 to $200,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.
Trexquant is an Equal Opportunity Employer
Skills Required
- Bachelor's, Master's, or Ph.D. in Mathematics, Statistical Modeling, Computer Science, or related STEM field
- 3+ years experience in an electronic execution role within a quantitative trading firm
- Strong quantitative skills and attention to detail
- Proficiency in Python programming
What We Do
Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.
