---
title: 'Software Developer - Data Infrastructure at Squarepoint Capital'
canonical: 'https://feeny.ai/job/software-developer-data-infrastructure-squarepoint-capital-london-397c734z2dkc'
type: 'job'
last_seen: '2026-09-15'
---

# Software Developer - Data Infrastructure at Squarepoint Capital

- **Company:** Squarepoint Capital
- **Location:** London, United Kingdom
- **Posted:** 2023-05-02
- **Last confirmed live:** 2026-09-15
- **Apply:** https://www.squarepoint-capital.com/open-opportunities?id=4992227&gh_jid=4992227

## Job description

Position Overview:

The Data Infrastructure team manages the service-oriented data storage infrastructure for the firm.  We implement microservices that provide high performance solutions to access large data sets required in trading and research.

We are looking for an experienced Software Developer with a strong background in C++ to join our team. In this role, you will be responsible for designing, developing, and maintaining the data infrastructure components that support our data processing and analytics pipelines. You will work closely with data engineers, data scientists, quantitative researchers and other stakeholders to ensure efficient and reliable data retrieval, processing and storage.

- Design, develop, and maintain data infrastructure microservices using C++ to process and analyze large data sets
- Optimize microservices for performance and scalability, ensuring efficient data processing
- Debug and troubleshoot software issues, providing timely resolutions
- Stay up-to-date with industry trends and advancements in C++ programming and data engineering technologies
- Write clean, maintainable, and efficient code, following coding best practices and standards
- Participate in code reviews to ensure code quality and consistency
- Collaborate with support teams to ensure smooth deployment and operation of microservices
- Contribute to the overall software architecture and design of data processing and analytics pipelines

Required Qualifications:

- Bachelor’s degree in Computer Science, Engineering, or related subject
- 4+ years of professional software engineering experience
- Proficiency in C++
- Experience working on microservices and/or asynchronous multithreaded applications
- Ability to work in a fast-paced, deadline-driven environment.
- Strong problem-solving and debugging skills
- Experience working in a Linux environment
- Excellent communication skills, comfortable interacting directly with stakeholders
- Willingness to pick up and learn new technologies and frameworks

Nice to have:

- Knowledge of databases, SQL
- Familiarity with Boost ASIO
- Familiarity with data serialization formats such Apache Arrow/Parquet, Google Protocol Buffers, Flatbuffers
- Experience with gRPC, http/REST and Websocket protocols
- Experience with Google Cloud/AWS and/or containerization in Docker/Kubernetes
- Experience with highly available distributed systems and working with large datasets
- Experience with other programming languages such as Rust, Python and Q is a plus

## 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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