Quantitative Researcher - Capital Efficiency

Squarepoint Services US LLC seeks a Quantitative Researcher - Capital Efficiency 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 Management or any STEM (Science, Technology, Engineering, or Math) field of study and 2 years of experience as a Quantitative Researcher, Investment Process Associate, or related position for an investment/asset management organization. Must have experience with: Repo and Rates Market in Structured Credit (CLO’s, CMBS, ABS, CRT) and Government Bonds in Europe, UK, Canada, US and Emerging Markets and MBS (Spec Pools and CMOs/Agency Derivatives); Delta 1 Equities and Futures, Index ETFs and dividends hedging and position management; Machine learning and optimization using SQL, Python, VBA, or Q; Trading operations and settlement processes (Free of Payment Delivery, Bilateral & Sponsored Delivery vs Payment, BONY Overdraft management, TMPG Fails Charges, & Settlement Lot Optimization) Fedwire, Euroclear and Domestic Based Countries; Buy side hedge fund or asset management experience; Fixed income financing industry relationships with dealers and banks with experience managing financing trades and balance sheet capacities across numerous financing counterparties and market conditions; Tableau/Looker/PowerBI for data analysis. Salary / Rate Minimum/yr: $180,000 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.