Quantitative Researcher - Equity

Squarepoint Services US LLC seeks a Quantitative Researcher - Equity for its New York, New York location.

Duties: 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 and 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, Economics or related and 1 year of experience as a Graduate Quantitative Researcher, Investment Process Associate, or related position for an investment/asset management organization. Must have at least one (1) year of employment experience with each of the following required skills: Use computer programs Python, KDB/Q, and BigQuery to collect, clean and process large un-structed data from various sources.  Write Python scripts to implement numerical optimization routines, to visualize data, write KDB database queries to verify and clean real time data. Use Machine Learning methods to identify patterns and trends in large datasets, and to create models to automatically predict such trends.  Implement optimization methods to assist business decision making. Use Big data analysis framework to analyze dozens of Terabytes of data and develop internal business software to visualize data in a friendly manner. Develop time series forecasting model and improve model accuracy
 

Salary / Rate Minimum/yr: $160,000

Salary / Rate Maximum/yr: $250,000

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.