Trexquant is seeking an experienced quantitative researcher to lead our Systematic ETF Strategy Team. In this role, you will manage a team of researchers focused on designing, implementing, and trading systematic ETF-based strategies within Trexquant’s core quantitative framework. Your leadership will play a critical role in scaling ETF strategies into a meaningful asset class for the firm.
Responsibilities
- Lead and mentor a team of researchers to expand ETF capabilities by identifying new data sources, signals, and strategies.
- Oversee the design, backtesting, and implementation of systematic ETF trading strategies.
- Collaborate with the development team to enhance the performance, robustness, and scalability of ETF simulation and trading infrastructure.
- Partner with execution and financing teams to optimize trade execution and capital efficiency.
- Work with the risk team to establish monitoring frameworks, controls, and capital allocation processes specific to ETF exposures.
- Present ETF research initiatives and progress to senior management, ensuring alignment with firm-wide trading and investment strategies.
Requirements
- 5+ years of experience researching and trading quantitative ETF-based strategies.
- Bachelor’s, Master’s, or Ph.D. in Mathematics, Statistics, Computer Science, or a related STEM field.
- Proven leadership experience managing quantitative research teams.
- Strong quantitative, analytical, and problem-solving skills.
- Proficiency in Python; familiarity with large-scale data analysis and backtesting frameworks a plus.
Benefits
- Competitive salary with performance-based bonus.
- Collaborative, casual, and friendly work environment.
- PPO health, dental, and vision insurance fully covered for you and your dependents.
- Pre-tax commuter benefits.
- Weekly company-provided meals.
Applications are now open for our NYC office, opening in September 2026.
The base salary range is $130,000 to $200,000, depending on candidates’ educational and professional background. Base salary is only one part of Trexquant’s total compensation, which may include a discretionary and performance based bonus.
Trexquant is an Equal Opportunity Employer
Skills Required
- 5+ years of experience researching and trading quantitative ETF-based strategies
- Bachelor's, Master's, or Ph.D. in Mathematics, Statistics, Computer Science, or a related STEM field
- Proven leadership experience managing quantitative research teams
- Strong quantitative, analytical, and problem-solving skills
- Proficiency in Python; familiarity with large-scale data analysis and backtesting frameworks a plus
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.
