Quantitative Researcher - Volatility (II) at Squarepoint Capital (New York, NY)

Squarepoint Capital· New York, NY·1d ago

Job description

Squarepoint Services US LLC seeks a Quantitative Researcher - Volatility for its New York, New York location.

Duties: Research and implement strategies within the firm’s automated trading framework. Analyze large data sets using advanced statistical methods to identify trading opportunities. Develop a strong understanding of market structure of various exchanges and asset classes. Independently perform comprehensive and high-quality research. Design and implement new components within trading simulation and backtesting frameworks. Developing strategies across multiple asset classes and financial markets in multiple regions (US, Europe, APAC)

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 1 year of experience as a Graduate Quantitative Researcher, Quantitative Researcher, 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: Financial intuition and/or experience in options/derivatives. Using programming languages (Python and KDB/Q) for data analysis, implementing algorithms, and writing business logic. Perform comprehensive and high-quality research. Experience with multiple asset classes and financial markets in the US, Europe, and APAC. Using Git version control and source code management, and working with integrated development environments (Visual Studio Code)

Salary / Rate Minimum/yr: $185,000

Salary / Rate Maximum/yr: $235,000

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.

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Job description

Why work at Squarepoint Capital

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