--- title: 'Software Developer - Data Reliability at Squarepoint Capital' canonical: 'https://feeny.ai/job/software-developer-data-reliability-squarepoint-capital-london-9zrbcqqbk1ff' type: 'job' last_seen: '2026-10-13' --- # Software Developer - Data Reliability at Squarepoint Capital - **Company:** Squarepoint Capital - **Location:** London, United Kingdom / Warsaw, Poland / Singapore / Bangalore, India / Montreal, Canada - **Posted:** 2026-07-28 - **Last confirmed live:** 2026-10-13 - **Apply:** https://www.squarepoint-capital.com/open-opportunities?id=8092644&gh_jid=8092644 ## Job description Position Overview As a Reliability Software Engineer on the Data team, you will be central to the infrastructure and operations that keep Squarepoint's data ecosystem running at scale. Our mandate is broad by design: we own the pipelines, platforms, and automation that our technology and investment teams depend on. The team operates at the intersection of engineering and operations. We build the observability tooling that surfaces problems before they become incidents, the job orchestration platform that runs production workloads at scale, the self-serve systems that let teams move faster without creating risk, and the production pipelines that onboard new data from various vendors. When incidents arise, we lead the response: root cause, remediation, and the follow-through that prevents recurrence. You will work closely with quant researchers, traders, and engineers across our organization, as well as the external vendors who supply our data, building strong working relationships while developing deep expertise in the systems that underpin their work. We value ownership, sharp analytical thinking, and engineers who take pride in leaving things better than they found them. If you thrive in an environment where your work has direct, visible impact on the reliability of critical systems and where no two days look the same, then this role is for you. ## Responsibilities - Observability: Keep Data Development infrastructure healthy, building the health monitoring platform with configurable monitors and custom checks that surfaces problems before they become incidents - System Automation: Build and improve automation that streamlines operational tasks and workflows, including the job orchestration platform that runs production workloads at scale - Self-Serve Request Automation: Build the Jira-driven platform that executes operational requests end to end, letting teams move faster without creating risk - Data Pipelines: Onboard new datasets from various vendors, and build the pipelines and frameworks that make that work scalable - Reliability Engineering: Own deployments, support users, plan for capacity and performance, and lead incident resolution end to end Required Qualifications - Education: Bachelor's degree in Computer Science, Engineering, or a related subject - Experience: 4+ years of proven experience in Software Engineering, Software Reliability, or a similar role - Python: 3+ years of hands-on experience programming in Python, and familiarity with version control systems such as Git - Linux: Proficiency with the Linux command line - Databases: Experience with SQL and relational databases, primarily PostgreSQL - Data Transfer: Practical knowledge of common protocols and tools used to move data, such as SFTP, HTTP APIs, and cloud object storage - Communication: Excellent verbal and written skills for working effectively with a global team and external vendors - Mindset: Proactive, detail-oriented, and self-driven with a strong sense of ownership and accountability Required Qualifications - Education: Bachelor's degree in Computer Science, Engineering, or a related subject - Experience: 4+ years of proven experience in Software Engineering, Software Reliability, or a similar role - Python: 3+ years of hands-on experience programming in Python, and familiarity with version control systems such as Git - Linux: Proficiency with the Linux command line - Databases: Experience with SQL and relational databases, primarily PostgreSQL - Data Transfer: Practical knowledge of common protocols and tools used to move data, such as SFTP, HTTP APIs, and cloud object storage - Communication: Excellent verbal and written skills for working effectively with a global team and external vendors - Mindset: Proactive, detail-oriented, and self-driven with a strong sense of ownership and accountability ## Nice to have - Experience with observability and monitoring tools such as Grafana, Kibana, or Prometheus - Experience developing automation tooling and implementing configuration management - Experience with cloud platforms such as Google Cloud or AWS - Experience operating job orchestration or workload scheduling systems at scale ## 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 - [Senior Security Architect](https://feeny.ai/job/senior-security-architect-squarepoint-capital-london-3g3fgg4z7gbj) — London, United Kingdom - [Lead Software Developer – Options Market Making](https://feeny.ai/job/lead-software-developer-options-market-making-squarepoint-capital-new-york-7tmh05n8wvxx) — New York, NY - [Manager of CTA Intraday Monetization](https://feeny.ai/job/manager-of-cta-intraday-monetization-squarepoint-capital-new-york-888tm5m155zk) — New York, NY - [Quantitative Researcher, Equity Mid-Frequency](https://feeny.ai/job/quantitative-researcher-equity-mid-frequency-squarepoint-capital-new-york-n921e4at7gbk) — New York, NY - [Quantitative Researcher, Volatility - Medium-Frequency](https://feeny.ai/job/quantitative-researcher-volatility-medium-frequency-squarepoint-capital-new-york-f9rb9sxhjcga) — New York, NY - [Intern Software Developer - Warsaw 2027](https://feeny.ai/job/intern-software-developer-warsaw-2027-squarepoint-capital-warsaw-y9d3nsnnbg9x) — Warsaw, Poland - [Campus Recruitment Specialist](https://feeny.ai/job/campus-recruitment-specialist-squarepoint-capital-london-paris-sphyz62sd1nq) — London Paris, NY - [Quantitative Researcher - Discretionary Oil](https://feeny.ai/job/quantitative-researcher-discretionary-oil-squarepoint-capital-houston-jak2ab5zkjcf) — Houston, TX - [Legal Assistant](https://feeny.ai/job/legal-assistant-squarepoint-capital-montreal-wqdyaaketv1z) — Montréal, Canada - [Junior Execution Trader - Equity](https://feeny.ai/job/junior-execution-trader-equity-squarepoint-capital-singapore-8m7tcthw12ny) — Singapore