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Equity Trading System Strategist

2 months ago

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

Analytic Recruiting Inc. is seeking a skilled Quantitative Research Analyst to enhance our algorithmic trading capabilities within a dynamic equity trading environment. The successful candidate will collaborate with Portfolio Managers to innovate, backtest, and oversee effective statistical arbitrage trading strategies across various equity markets.

Key Responsibilities:

  • Innovate and develop new algorithmic trading strategies.
  • Collaborate with Portfolio Managers to research, backtest, and implement profitable low- and high-frequency statistical arbitrage strategies.
  • Engage in the development, research, maintenance, and risk management of quantitative high-frequency automated equity trading strategies.
  • Design, calibrate, and analyze quantitative pricing, trading, and risk control mechanisms for algorithmic strategies.
  • Enhance the performance of existing strategies utilizing machine learning and statistical techniques.
  • Create statistical tools for model management and portfolio optimization.
  • Work closely with Portfolio Managers on trading concepts and model improvements.
  • Coordinate with software teams to define functional requirements, documentation, and model testing.

Qualifications:

  • Advanced degree in Statistics or Mathematics.
  • Minimum of 5 years of experience in financial markets model development.
  • Proficiency in programming languages such as Python (preferred), R, or Matlab, along with SQL database experience.
  • Experience in developing algorithmic or automated trading models.

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