Equity Trading System Strategist

2 weeks ago


Chicago, Illinois, United States Analytic Recruiting Inc. Full time

Analytic Recruiting Inc. is seeking a Quantitative Equity Trading System Strategist to enhance its algorithmic trading initiatives. This role involves collaborating with Portfolio Managers to develop and refine statistical arbitrage strategies tailored for both low- and high-frequency trading in equities.

Key Responsibilities:

  • Innovate and design new algorithmic trading strategies.
  • Collaborate with Portfolio Managers to research, backtest, implement, and oversee effective statistical arbitrage trading strategies.
  • Engage in the development, research, maintenance, and risk management of quantitative high-frequency automated equity trading strategies.
  • Design, calibrate, and evaluate quantitative pricing, trading, and risk control mechanisms for algorithmic strategies.
  • Enhance existing strategies using advanced techniques from machine learning and statistical analysis.
  • Create statistical tools for model management and portfolio optimization.
  • Work closely with Portfolio Managers on trading concepts and model improvements.
  • Coordinate with software teams regarding functional requirements, documentation, and model testing.

Qualifications:

  • Advanced degree in Quantitative disciplines such as Statistics or Mathematics.
  • A minimum of 5 years of experience in financial markets model development.
  • Proficiency in programming languages, preferably Python, or other scripting languages (R, Matlab), along with SQL database knowledge.
  • Experience in developing algorithmic or automated trading models.

Keywords: High Frequency, Equity, Trading Strategist, Statistical Modeling, Automated Trading, Risk Management, Portfolio Optimization



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