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TrexquantTrexquant

Head of Systematic ETF Strategy Team (USA)

Leads a team developing and implementing systematic ETF trading strategies, including research, backtesting, infrastructure enhancement, and risk controls. Requires 5+ years in quantitative ETF strategies, leadership experience, and proficiency in Python.

About the job

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.

Skills

Python, Quantitative Research, Backtesting, Data Analysis, Etf Strategies, Machine Learning, Statistical Modeling, Risk Management

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