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Develop and implement mathematical and simulation models to enhance trading strategies using computerized algorithms. Monitor live trading automatons, manage risk, and utilize KDB/Q and Python for data analysis and strategy optimization.
Requires a Master's degree in Financial Engineering, Financial Mathematics, or a related field with at least one year of experience in a quantitative role at a hedge fund or market maker. Must possess expertise in options research, portfolio construction, and programming in Python and kdb+/q.
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
Squarepoint 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.
Offices: 250 W 55th St, New York, NY 10019, US · One Ropemaker Street, London, United Kingdom EC2Y9AW, GB · 88 Market Street, Singapore, Singapore 048948, SG · 1190 Avenue des Canadiens-de-Montréal, Montreal, Quebec H3B0G7, CA · 16 Avenue Matignon, Paris, France 75008, FR
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