Quantitative Researcher, Equity Mid-Frequency at Squarepoint Capital (New York, NY)

Squarepoint Capital· New York, NY·4d ago

Job description

Squarepoint Services US LLC seeks a Quantitative Researcher, Equity Mid-Frequency 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 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.

Why work at Squarepoint Capital

Culture: Collaboration across teams, a flat structure with a strong sense of ownership and accountability, and a focus on intellectual curiosity.
Work environment: In-office for most roles (offices in New York, Boston, London, Paris, Singapore, Bangalore, etc.). Some roles offer a remote work program, but the majority require physical presence.
Benefits: Generous parental leave, health insurance (medical, dental, vision), 401(K) matching, disability and life insurance, paid sick days, generous PTO, paid volunteer time, free snacks and drinks. Offices are designed for in-person collaboration.
Engineering culture: Technology is considered core to the business; engineers work closely with quantitative researchers to build and optimize trading systems. Emphasis on C++, Python, Kubernetes, and low-latency systems.
Growth trajectory: Rapid headcount growth and a global footprint offer opportunities for career advancement and international mobility.

About Squarepoint Capital

Company Overview

One-liner: Squarepoint Capital is a leading global quantitative investment manager that uses a rigorous scientific approach and state-of-the-art technology to construct diversified, systematic strategies for institutional clients.
Entity Type: Private (no disclosed external funding; spun out from Barclays in 2014)
Headquarters: New York, New York, United States
Founded: 2014 (as an independent firm; the underlying business, nQuant, dates back to 2000 within Lehman Brothers and later Barclays)
Founders: Led by four founding partners (names not publicly disclosed); the original founders of nQuant continue to lead Squarepoint today.

Core Business

Primary industry: Financial Services – Quantitative Investment Management
Target customers: Institutional investors (B2B)
Mission / Purpose: “Achieving high quality returns for our clients” through a systematic, diversified, and research-driven investment platform.

Products & Services

Quantitative Investment Strategies: A diversified portfolio of systematic strategies spanning multiple asset classes (equities, fixed income, currencies, commodities), trading frequencies (high-frequency to long-term), and global markets. The majority of investments are based on rigorous backtesting on historical data.
Technology & Data Platform: A custom, nimble, and forward-looking software stack that enables seamless integration between research and trading, executing millions of trades per day. Includes low-latency trading systems and a world-class data infrastructure.

Market Standing

Valuation / Market Cap: Not publicly disclosed
Key Metric: Annual revenue is not publicly disclosed (LinkedIn estimates ~$12M, but this likely underrepresents a firm of this scale; the figure should be treated with caution). The firm is privately held and does not report earnings.
Notable Investors / Partners: No external investors; the firm is privately held by its founding partners. Alumni frequently move to top quant funds and tech companies (e.g., Millennium, Citadel, Qube Research & Technologies, Google, Jump Trading).
Growth Signals: Headcount grew 33.9% year-over-year to approximately 1,801 employees (LinkedIn, 2025). The firm operates 17 offices across 8 countries and is actively hiring across technical, research, and finance roles.

Competitive Advantages

Deep heritage: The team’s quantitative roots trace back to 2000, with a proven track record through multiple market cycles.
Scientific rigor: A disciplined, research-first approach that relies on backtesting and systematic execution rather than discretionary bets.
Scale and technology: Executes millions of trades daily using a highly custom, low-latency platform developed in-house.
Global diversification: Strategies span asset classes, geographies, and trading frequencies, reducing reliance on any single market or style.
Culture of ownership: Privately held and led by its founding partners, fostering long-term thinking and accountability.

Strategic Focus

Diversification: Continuously expanding into new asset classes, trading frequencies, and geographies.
Technology investment: Ongoing development of proprietary software and data infrastructure to maintain a competitive edge in research and execution.
Talent acquisition: Aggressively hiring quantitative researchers, software engineers (C++, Python), platform engineers, and operations specialists across global offices.

Sources

Job description

Why work at Squarepoint Capital

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