Quantitative Researcher
Market Structure Research
Posted on 5/9/2023
Squarepoint Capital

1,001-5,000 employees

Global quantitative investment management firm
New York, NY, USA
Experience Level
Desired Skills
Data Analysis
Data Structures & Algorithms
Software Engineering
Quantitative Finance
  • Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world
  • Squarepoint Services US LLC seeks a full-time Quantitative Researcher, Market Structure Research for its New York, NY location
  • Duties: On behalf of an investment management firm, perform independent and complex financial quantitative analysis to 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 and futures markets. 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: Minimum of Master's degree, or foreign equivalent, in any Science, Technology, Engineering, and or Mathematics (STEM) field of study and at least two (2) years of experience as a Quantitative Researcher, Quantitative Analyst or a related occupation for a financial services/investment management/investment banking organization. Must have at least two (2) years of employment experience with each of the following required skills: Experience must include: (1) Knowledge of market microstructure of global equity and futures markets to analyze complex data received from market exchanges, decode data, identify and extract key features from decoded market data, and model microstructural activity to create forecasts; (2) Q and KDB to query, analyze, and populate and work with large databases of financial data for research purposes; (3) C++ to manage complex real time systems and evaluate large quantities of streaming data from electronic markets; (4) Creating statistical and financial models to describe dynamics of financial markets, create forecasts, and analyze statistical significance of forecasts; (5) Machine learning techniques to fit non-linear models on large datasets; (6)Linux shell scripting to automate daily scripts, jobs, data creation, and analysis tasks; (7) Reviewing and analyzing market data to interpret functions of financial exchanges, meaning of produced market data, and messages sent by exchanges for analysis of financial dynamics; (8) Python programming to research and analyze large datasets and create modular analysis tools for present and future use
  • Salary / Rate Minimum/yr: : $130,000
  • Salary / Rate Maximum/yr : $150,000
  • 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
  • Squarepoint is an EEO/AA employer