Squarepoint Services US LLC seeks a Quantitative Researcher Volatility Team for its New York, New York location.
Duties: On behalf of an investment management firm formulate mathematical and simulation models of investment strategies, relating constants and variables, restrictions, alternatives, conflicting objectives, and numerical parameters for the enhancement of trading through computerized algorithms, as well as implementation of models. Utilize comprehensive knowledge of mathematical models and technologies, statistical techniques including regression analysis, machine learning, and statistical inference, and financial and computer skills in order to enhance investment strategies based on equities or other asset classes. Produce and implement sophisticated analyses describing new statistical effects, assessing robustness of effects, and developing new quantitative strategies making use of such effects. Perform validation and testing of both trading simulations and critical trading applications. Build applications utilizing 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. Utilize Excel/VBA mathematical models and KDB analysis tools to track market history of specific asset classes to evaluate future profit potentials and risk margins. Manage live trading automatons and perform continuous monitoring of risk related to live trading automatons. Leverage on asset-class-specific experience to find new patterns in market data and explore new methods to optimize execution costs. Utilize extensive knowledge of market structure and statistical arbitrage to improve on existing trading strategies and develop new trading strategies. Assist team’s senior quantitative researcher’s efforts 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: Must have a minimum of a Master’s degree or foreign equivalent in Financial Engineering / Financial Mathematics or related and 1 year of experience as a Quantitative Researcher, Quantitative Trader, or related position for a hedge fund or market maker. Must have at least one (1) years 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 that predict various targets in options market. Conduct option portfolio construction based on mathematical optimization problems. Simulate different 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
Salary / Rate Minimum/yr: $160,000
Salary / Rate Maximum/yr: $185,000
40 hours/week. The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available. Squarepoint is an EEO/AA employer
Skills Required
- Master's degree or foreign equivalent in Financial Engineering, Financial Mathematics, or related
- Minimum 1 year experience as a Quantitative Researcher, Quantitative Trader, or related position at a hedge fund or market maker
- Experience utilizing options knowledge to perform asset-specific research and engage in real trading
- Experience analyzing, optimizing, and blending different styles of signals that predict various targets in the options market
- Experience conducting option portfolio construction based on mathematical optimization problems
- Experience simulating systematic trade ideas and evaluating backtest performance
- Experience developing monitoring reports for live strategies and performing risk management
- Program in kdb+/q and Python for data analysis and strategy development
- Build applications using Shell to automate daily data dependency processing for trading strategies
- Use Excel/VBA mathematical models and KDB analysis tools to track market history and evaluate risk/profit potentials
- Manage live trading automatons and continuously monitor risk related to live trading automatons
Squarepoint Capital Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Squarepoint Capital and has not been reviewed or approved by Squarepoint Capital.
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Healthcare Strength — Health, dental, and vision insurance are provided alongside FSA options, indicating a broad healthcare offering. Disability, life, and AD&D coverage are also cited as part of the package.
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Retirement Support — A 401(k) program is offered, with multiple mentions of a company match. Long‑term financial protections such as life and disability insurance complement the retirement plan.
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Leave & Time Off Breadth — Generous PTO, paid sick days, and paid volunteer time are included. Parental leave is described as generous.
Squarepoint Capital Insights
What We Do
Squarepoint Capital is a leading global investment management firm that develops quantitative investment strategies to achieve high quality returns for our clients. We are a data and technology driven firm who specialize in developing automated trading systems that execute across global financial markets.
