Head of Systematic ETF Strategy Team (USA)
Trexquant Investment LP · Stamford, CT · 4 wk ago
Business Development$130k–$200k/yrFull-time
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.
Schedule
- The position is currently open for applications in the NYC office, which will open in September 2026.
- The base salary range is $130,000 to $200,000, depending on candidates’ educational and professional background.
- The base salary is only one part of Trexquant’s total compensation, which may include a discretionary and performance-based bonus.
Pay
- The base salary range is $130,000 to $200,000, depending on candidates’ educational and professional background.
Qualifications
- None specified.
Skills
- Quantitative Research
- ETF Trading
- Data Analysis
- Backtesting
- Python Programming
Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- Commute Benefits
- Meals Provided