Squarepoint Services US LLC seeks a Quantitative Researcher, Intraday Trading for its New York, NY 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. Research and implement strategies within the firm's automated trading framework. Analyze large data sets using advanced statistical methods to identify trading opportunities. Use understanding of market structure of various exchanges and asset classes to optimize monetization and portfolio construction. 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 Bachelor'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, Quantitative Analyst, Quantitative Strategist, Machine Learning Engineer, or related position for an investment/asset management organization. Must have at least 1 year of employment experience with each of the following required skills: Filesystem navigation, scripting, and automation parallelization, file transfers over the network and version control system; Using Python and C++ to develop algorithms for automated trading strategies, statistical analysis, analysis of financial time series and large datasets using functional queries and parallel computing softwares; Handling in-memory and on-disk datasets using Seaborn and Plotly visualization tools; Jupyter Notebooks; Time series analysis of financial data and forecasting of returns; T-stat, Z-score, significance tests and dealing with overfitting in financial data; Atlassian suite of software - Confluence, Jira, Bitbucket; Risk Management and Portfolio optimization - barra factor construction, monitoring and audit of trading strategies. Salary / Rate Minimum/yr: $190,000 Salary / Rate Maximum/yr: $250,000 40 hrs/wk. 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.