--- title: 'Quantitative Researcher - Systematic Macro at Squarepoint Capital' canonical: 'https://feeny.ai/job/quantitative-researcher-systematic-macro-squarepoint-capital-new-york-9av6x0jg4hg4' type: 'job' last_seen: '2026-09-08' --- # Quantitative Researcher - Systematic Macro at Squarepoint Capital - **Company:** Squarepoint Capital - **Location:** New York, NY - **Posted:** 2026-08-13 - **Last confirmed live:** 2026-09-08 - **Apply:** https://www.squarepoint-capital.com/open-opportunities?id=8122239&gh_jid=8122239 ## Job description Squarepoint Services US LLC seeks a/an Quantitative Researcher - Systematic Macro for its New York, New York location. Duties: On behalf of an investment management firm, advise on the employer’s investment decisions by developing econometric/statistical models to analyze and forecast price movements of financial securities and related economic/policy/political conditions across countries. Formulate mathematical and simulation models of investment strategies, 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 Python to automate daily data dependency processing for trading strategies. Manage live trading automations and perform continuous monitoring of risk related to live trading automations. Requirements: Must have a minimum of a Master’s degree or foreign equivalent in any STEM (Science, Technology, Engineering, or Math) field or Economics 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: Macroeconomic data and their impact on asset prices; Macroeconomic Relationships; Programming in Python; Statistical Analysis (hypothesis testing, time series analysis, linear regression); Knowledge of worldwide macroeconomic release details; Model building to predict macroeconomic variables ; Knowledge of methods and datasets used by the Bureau of Labor Statistics (BLS) to create various macroeconomic indices Salary / Rate Minimum/yr: $180,000 Salary / Rate Maximum/yr: $225,000 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. ## 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. ## Why Work Here - **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. ## Sources 1. [squarepoint-capital.com](https://www.squarepoint-capital.com/) 2. [squarepoint-capital.com/about](https://squarepoint-capital.com/about) 3. [linkedin.com/company/squarepoint-capital](https://ca.linkedin.com/company/squarepoint-capital) 4. [builtin.com/company/squarepoint-capital](https://builtin.com/company/squarepoint-capital) 5. [job-boards.greenhouse.io/squarepointcapital](https://job-boards.greenhouse.io/squarepointcapital) ## Other roles at Squarepoint Capital - [Global Mobility Coordinator](https://feeny.ai/job/global-mobility-coordinator-squarepoint-capital-london-jwwd86xqhpzm) — London, United Kingdom - [Travel Expense Administrator](https://feeny.ai/job/travel-expense-administrator-squarepoint-capital-bengaluru-s1axkkgbxm3m) — Bengaluru, India - [Infrastructure Developer](https://feeny.ai/job/infrastructure-developer-squarepoint-capital-london-cgs21acb3gh2) — London, United Kingdom - [Head of HR AMER](https://feeny.ai/job/head-of-hr-amer-squarepoint-capital-new-york-c3afd4q3r7jf) — New York, NY - [Human Resources Manager](https://feeny.ai/job/human-resources-manager-squarepoint-capital-london-c8ja413jsc8r) — London, United Kingdom - [Assistant Controller - Management Company](https://feeny.ai/job/assistant-controller-management-company-squarepoint-capital-london-13zfwfqjtd0n) — London, United Kingdom / Montreal, Canada / Jersey / Warsaw, Poland - [Assistant Controller - Broker Dealer](https://feeny.ai/job/assistant-controller-broker-dealer-squarepoint-capital-london-yh45kr78v0g6) — London, United Kingdom / New York, NY / Montreal, Canada / Warsaw, Poland - [Quantitative Researcher - Volatility (II)](https://feeny.ai/job/quantitative-researcher-volatility-ii-squarepoint-capital-new-york-sagejhemf1j6) — New York, NY - [Quantitative Researcher - Convertible Bonds](https://feeny.ai/job/quantitative-researcher-convertible-bonds-squarepoint-capital-new-york-36as7fafgyg0) — New York, NY - [Finance Data Analyst](https://feeny.ai/job/finance-data-analyst-squarepoint-capital-montreal-whkpztm5aw9a) — Montréal, Canada