Quantitative Researcher, Equity Mid-Frequency Factor
Apply NowCompany: Squarepoint Capital
Location: New York, NY 10025
Description:
Squarepoint Services US LLC seeks a Quantitative Researcher, Equity Mid-Frequency, Factor 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.
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, Data Research Analyst, 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: Generating economic insights including earnings forecasts utilizing alternative datasets and programming languages including R, SQL and Python. Using machine learning techniques to perform clustering analysis on data and extracting features and signals from datasets; Creating machine learning models to evaluate investment hypothesis and utilizing natural language processing techniques to clean and preprocess complex textual data; Using cloud computing, Linux, and Shell to automate tasks - data ingestion, data outlier detection, feature generation, and daily execution of return forecast processes; Python programming with PyData packages, Pandas, Numpy and Scipy to perform data analysis; Developing applications with KDB, Python and Shell to monitor data and feature quality related to return forecasts and live trading. Result forecasting and investment research for public companies. Big Data Analysis and high-performance computing with BigQuery.
Salary / Rate Minimum/yr: $250,000Salary / Rate Maximum/yr: $270,000The 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. 40/hrs wk. 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.
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, Data Research Analyst, 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: Generating economic insights including earnings forecasts utilizing alternative datasets and programming languages including R, SQL and Python. Using machine learning techniques to perform clustering analysis on data and extracting features and signals from datasets; Creating machine learning models to evaluate investment hypothesis and utilizing natural language processing techniques to clean and preprocess complex textual data; Using cloud computing, Linux, and Shell to automate tasks - data ingestion, data outlier detection, feature generation, and daily execution of return forecast processes; Python programming with PyData packages, Pandas, Numpy and Scipy to perform data analysis; Developing applications with KDB, Python and Shell to monitor data and feature quality related to return forecasts and live trading. Result forecasting and investment research for public companies. Big Data Analysis and high-performance computing with BigQuery.
Salary / Rate Minimum/yr: $250,000Salary / Rate Maximum/yr: $270,000The 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. 40/hrs wk. 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.