---
title: 'Desk Quant Analyst at Squarepoint Capital'
canonical: 'https://feeny.ai/job/desk-quant-analyst-squarepoint-capital-london-hkff3518s8y3'
type: 'job'
last_seen: '2026-09-08'
---

# Desk Quant Analyst at Squarepoint Capital

- **Company:** Squarepoint Capital
- **Location:** London, United Kingdom / Madrid, Spain / Montreal, Canada / Bangalore, India / Singapore, Singapore / Hong Kong, China / Warsaw, Poland
- **Posted:** 2020-12-21
- **Last confirmed live:** 2026-09-08
- **Apply:** https://www.squarepoint-capital.com/open-opportunities?id=2546549&gh_jid=2546549

## Job description

Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity.

Position Overview:

We are looking for highly motivated graduates or early career professionals with an interest in quantitative finance and a background in computer science, engineering, mathematics, physics or other STEM disciplines to join our team as Desk Quant Analysts.

You will work in close collaboration with Quantitative Researchers, Traders and investment teams to support a broad range of research, trading and production activities across the firm.

- Maintain and improve trading tools, analytics, production processes and strategy configurations used by investment teams.
- Clean, analyze and manage large datasets used in both research and production environments.
- Perform live and historical monitoring of trading activities, investigate production issues, and conduct post-trade analysis and reconciliation.

Performance and career development are reviewed annually. Successful Desk Quant Analysts have opportunities to progress into Quantitative Research, Quantitative Development and other technical roles, subject to performance, skills development and business needs.

Typical Day of Desk Quant Analyst:

- Before market open, check that all required data and related processes are ready for the trading day.
- During market hours, monitor trading activity and production systems, and investigate any issues that arise.
- Work on longer-term projects aimed at improving trading infrastructure, analytics, operational efficiency, data quality and business processes.

Required Qualifications:

- Degree in Computer Science, Engineering, Mathematics, Physics or a related quantitative discipline.
- Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
- Excellent attention to detail and strong analytical problem-solving skills.
- Strong communication skills and ability to work well with colleagues across multiple regions.
- Ability to work well under pressure.

Nice to have:

- Knowledge of Linux and Bash.
- Knowledge of Q/KDB+.
- Knowledge of financial markets.
- Advanced quantitative skills.

## #LI-DNP

## 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)

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- [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
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