Squarepoint Capital
Quantitative Researcher, Data Science
Squarepoint Capital, New York, New York, us, 10261
Squarepoint Services US LLC seeks a Quantitative Researcher 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 any STEM (Science, Technology, Engineering, or Math) field of study and 1 year of experience as a Quantitative Trader, Quantitative Analyst, Quantitative Researcher, or related position for a global investment/asset management organization. Must have at least one (1) year of employment experience with each of the following required skills: Researching quantitative models and strategies on equity, options, and other asset classes. Using financial knowledge to clean and process complex financial data from various sources. Experience with financial derivatives is a plus. Mathematical and statistical modeling to perform data analysis. Advanced machine learning modeling on large-scale datasets to predict and test statistical market patterns. Implementing trading models and signals in a live trading environment. Coding using Python or KDB/Q. Salary / Rate Minimum/yr: $150,000 Salary / Rate Maximum/yr: $169,000. 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. To apply, visit Careers section of www.squarepoint-capital.com, click on "View Opportunities", search for applicable job title, and follow application instructions. Squarepoint is an EEO/AA employer.
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 any STEM (Science, Technology, Engineering, or Math) field of study and 1 year of experience as a Quantitative Trader, Quantitative Analyst, Quantitative Researcher, or related position for a global investment/asset management organization. Must have at least one (1) year of employment experience with each of the following required skills: Researching quantitative models and strategies on equity, options, and other asset classes. Using financial knowledge to clean and process complex financial data from various sources. Experience with financial derivatives is a plus. Mathematical and statistical modeling to perform data analysis. Advanced machine learning modeling on large-scale datasets to predict and test statistical market patterns. Implementing trading models and signals in a live trading environment. Coding using Python or KDB/Q. Salary / Rate Minimum/yr: $150,000 Salary / Rate Maximum/yr: $169,000. 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. To apply, visit Careers section of www.squarepoint-capital.com, click on "View Opportunities", search for applicable job title, and follow application instructions. Squarepoint is an EEO/AA employer.