Quantitative Researcher - Volatility (I)

Quantitative Researcher – Volatility

Squarepoint Services US LLC seeks a Quantitative Researcher Volatility Team for its New York, New York location.

Duties

• Formulate mathematical and simulation models of investment strategies, defining relationships among constants and variables, restrictions, alternatives, conflicting objectives, and numerical parameters to improve trading via computerized algorithms.
• Utilize knowledge of mathematical models and technologies; statistical techniques including regression analysis, machine learning, and statistical inference; and financial and computer skills to enhance investment strategies across equities and other asset classes.
• Produce and implement sophisticated analyses that describe new statistical effects, assess robustness of effects, and develop new quantitative strategies based on those effects.
• Perform validation and testing of trading simulations and critical trading applications.
• Build applications using Shell and Python to automate daily data dependency processing for trading strategies.
• Use KDB/Q and Python to analyze existing strategy behavior and propose and implement improvements.
• Utilize Excel/VBA mathematical models and KDB analysis tools to track market history for specific asset classes to evaluate future profit potential and risk margins.
• Manage live trading automation and perform continuous monitoring of risk related to live trading automation.
• Leverage asset-class-specific experience to identify new patterns in market data and explore methods to optimize execution costs.
• Use extensive knowledge of market structure and statistical arbitrage to improve existing trading strategies and develop new trading strategies.
• Assist senior quantitative researchers in building, validating, releasing, and maintaining highly complex automated trading models.
• Pilot research projects spanning multiple teams across multiple regions to develop new mathematical models and analytical tools for critical investment decision-making.

Requirements

• Minimum of a Master’s degree (or foreign equivalent) in Financial Engineering / Financial Mathematics or a related field.
• 1 year of experience as a Quantitative Researcher, Quantitative Trader, or related position for a hedge fund or market maker.
• At least 1 year of employment experience with the following required skills:
  • Use options knowledge to perform asset-specific research and engage in real trading.
  • Analyze, optimize, and blend different styles of signals that predict various targets in options markets.
  • Conduct option portfolio construction using mathematical optimization problems.
  • Simulate systematic trade ideas and evaluate backtest performance.
  • Develop monitoring reports for live strategies and perform risk management.
  • Program in KDB+/Q and Python for data analysis and strategy development.

Compensation

• Base salary range: $160,000 – $185,000 per year

Work Schedule

40 hours/week. The minimum and maximum salary/rate information above include only base salary or base hourly rate and do not include other forms of compensation or benefits that may be available.