Quantitative Researcher - Volatility (I)

Squarepoint Capital; New York (NY); On-site; USD 160,000 - 185,000; Full time

Job summary

Squarepoint Capital in New York, NY, seeks a Quantitative Researcher focused on volatility to design mathematical models and automated trading solutions. The candidate will develop, test, and refine strategies using Python and KDB+/Q, with emphasis on options and market microstructure.

Strong scripting ability and cross-team collaboration are essential. The role requires a Master's in a relevant field and at least one year of experience in quantitative research or trading, with a base salary in

Qualifications

• Master’s degree in Financial Engineering or Financial Mathematics.
• Minimum 1 year of experience as Quantitative Researcher/Quantitative Trader.
• Experience with options research and real trading.
• Ability to analyze, optimize, and blend different signals for options targets.
• Proficiency in kdb+/q and Python for data analysis and strategy development.

Responsibilities

• Formulate mathematical and simulation models for investment strategies, including parameters and constraints.
• Develop, validate, and maintain sophisticated trading models and risk controls.
• Automate daily data processing and deployment of trading strategies using Python and Shell.
• Use KDB/Q and Python to analyze strategy behavior and propose improvements.
• Pilot research projects across teams to develop new mathematical models and analytical tools.

Skills

Options knowledge

Asset-specific research

Real trading experience

Signal blending

Backtesting

Risk management

Python programming

Education

Master's degree in Financial Engineering or Financial Mathematics

Tools

KDB+/Q

Python

Job description

Our team-focused culture brings together exceptional talent in various technical disciplines and empowers everyone to perform in a truly outstanding way.

New

Quantitative Researcher - Volatility

New York

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