Quantitative Researcher, Equity Mid-Frequency
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Before you apply
LocationNew York
Typefull-time
SeniorityMid
Experience2+ yrs
DepartmentInvestment
Company size1,001–5,000 people
PostedOct 9, 2026 · 3w ago
Verified live23h ago
At a glanceSummarised by Seekless from the posting.
Minimum of a Master’s degree or foreign equivalent in Statistics, Data Science, Electrical Engineering, Physics, Operations Research, Applied Mathematics, Theoretical Physics, Computer Science, Econometric or related
2 years of experience as a Quantitative Researcher, Investment Process Associate, or related position for an investment/asset management organization
At least two (2) years of employment experience with using quantitative and statistical modeling techniques on large datasets to generate and validate trading signals
At least two (2) years of employment experience with programming (python and kdb/q) for systematic strategy implementation to research, backtest, and deploy automated trading strategies
At least two (2) years of employment experience with developing hypotheses, testing ideas, and efficient iteration in a data-driven environment
At least two (2) years of employment experience with communicating quantitative results obtained through data analysis and translate knowledge into a quantitative model
Skills
Python
KDB/Q
Excel
VBA
Shell
About the role
Squarepoint Services US LLC seeks a Quantitative Researcher, Equity Mid-Frequency for its New York, New York location.
Responsibilities
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
Requirements: Must have a minimum of a Master’s degree or foreign equivalent in Statistics, Data Science. Electrical Engineering, Physics, Operations Research, Applied Mathematics, Theoretical Physics, Computer Science, Econometric or related and 2 years of experience as a Quantitative Researcher, Investment Process Associate, 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: Using quantitative and statistical modeling techniques on large datasets to generate and validate trading signals. Programming (python and kdb/q) for systematic strategy implementation to research, backtest, and deploy automated trading strategies. Developing hypotheses, testing ideas, and efficient iteration in a data-driven environment. Communicating quantitative results obtained through data analysis and translate knowledge into a quantitative model. Salary / Rate Minimum/yr: $165,000 Salary / Rate Maximum/yr: $170,000. 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.
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