Quantitative Researcher - Volatility

Quantitative Researcher (Volatility Team)

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

Responsibilities

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

Requirements

• Minimum Master’s degree (or foreign equivalent) in Financial Engineering / Financial Mathematics or a related field.
• At least 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 each of the following required skills:
  • Utilize options knowledge to perform asset-specific research and engage in real trading.
  • Analyze, optimize, and blend different styles of signals predicting targets in options markets.
  • Conduct option portfolio construction based on 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

• Salary: $160,000 – $185,000 per year (base salary only; does not include other compensation or benefits).

Work Schedule

40 hours/week.