Squarepoint Capital
Quantitative Researcher, Quant Execution Analytics
Squarepoint Capital, New York, NY
Squarepoint Services US LLC seeks a full-time Quantitative Researcher for its New York, NY location.
Duties: On behalf of an investment management firm, formulate mathematical and simulation models of investment strategies, relating 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 linear and non-linear 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 any STEM (Science, Technology, Engineering, or Math) field of study and 2 years of experience as a Quantitative Researcher or related position for an investment/asset management organization.
Must have at least two (2) years of employment experience with each of the following required skills: Performing independent research to conduct rigorous quantitative analyses to develop mathematical and simulation models to identify trading opportunities; leveraging optimization models and solve optimal control problem; Analyzing large timeseries data sets using advanced statistical methods (regression analysis, Bayesian statistical modeling, statistical inference) to produce statistically meaningful results; Using programming languages Python and KDB Q; Developing and maintaining large scale systems of advanced models; Parallel computing to post computation efficiency.
Salary / Rate Minimum/yr: : $170,000
Salary / Rate Maximum/yr : $215,000
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.
Duties: On behalf of an investment management firm, formulate mathematical and simulation models of investment strategies, relating 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 linear and non-linear 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 any STEM (Science, Technology, Engineering, or Math) field of study and 2 years of experience as a Quantitative Researcher or related position for an investment/asset management organization.
Must have at least two (2) years of employment experience with each of the following required skills: Performing independent research to conduct rigorous quantitative analyses to develop mathematical and simulation models to identify trading opportunities; leveraging optimization models and solve optimal control problem; Analyzing large timeseries data sets using advanced statistical methods (regression analysis, Bayesian statistical modeling, statistical inference) to produce statistically meaningful results; Using programming languages Python and KDB Q; Developing and maintaining large scale systems of advanced models; Parallel computing to post computation efficiency.
Salary / Rate Minimum/yr: : $170,000
Salary / Rate Maximum/yr : $215,000
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.