---
title: 'Software Developer - Risk Reliability at Squarepoint Capital'
canonical: 'https://feeny.ai/job/software-developer-risk-reliability-squarepoint-capital-singapore-krg1c20ppyr7'
type: 'job'
last_seen: '2026-09-15'
---

# Software Developer - Risk Reliability at Squarepoint Capital

- **Company:** Squarepoint Capital
- **Location:** Singapore
- **Posted:** 2023-09-25
- **Last confirmed live:** 2026-09-15
- **Apply:** https://www.squarepoint-capital.com/open-opportunities?id=5384579&gh_jid=5384579

## Job description

Position Overview:

As a Reliability Software Engineer in the Risk team, you will play a critical role in ensuring the performance, stability and availability of the Risk software systems, as well as their day-to-day operations. Squarepoint's Risk platform is responsible for position management, profit/loss computation, inventory/locate management and internal order routing. These critical systems need to be performant, resilient, and capable of timely processing of high volumes of trading data. As such, the team requires a high software development capacity, along with strong analytical skills.

You will primarily be building firm-wide platforms focused on extending Squarepoint's observability, preventing functional regressions and performance regressions, and automating operational flows. You will also make use of these platforms by implementing domain-specific logic on top of them, tailored to the requirements of the relevant sub-teams of Risk. Here are some examples of our projects:

- Observability: Our health check platform is designed to make the implementation of health checks as easy as possible, for any team at Squarepoint. It supports generic health checks that can be set-up through configuration-only, as well as a "plug-n-play" architecture allowing fully custom health checks to be integrated and ran by the platform.
- Preventing functional/performance regressions: We are building a platform that will facilitate and automate benchmarking by abstracting away the scheduling of jobs, the hardware resourcing, the metric collection, the reporting of results, and the integration to Gitlab.
- Automation: We are building a self-serve automation platform that will allow users to request changes to our system configuration through a Jira portal. Once the necessary approvals gathered, the platform automatically schedules a job to apply the requested changes.

Operations are important to ensure business continuity, as-such our responsibilities also include:

- Level-2 support: In order to ensure business uptime, every member of the team contributes to a daily support ROTA. During business hours, people on-duty will prioritise responding to incidents over their project work. On average, people are on-duty one day per week.
- Incident management: Root cause analyses are performed to understand the source of incidents and to raise appropriate remedial actions.
- Day-to-day operations: Until they're automated, the team is responsible for tweaking our system configurations to address user requests and correcting historical data in our databases.

Required Qualifications:

- Education: Bachelor’s degree in Computer Science or related subject
- Experience: 4+ years proven experience in Software Engineering, Software Reliability, or similar role with hand-on experience in software development and providing L2 support
- Experience of developing in Python, and familiarity with version control systems such as git
- Experience working in a Linux environment
- Problem-Solving Skills: Strong analytical and problem-solving skills with a keen eye for detail and a proactive approach to resolving issues
- Communication: Excellent communication and collaboration skills to work effectively with cross-functional teams
- Adaptability: Ability to work in a fast-paced and dynamic environment, adapting to changing priorities and requirements
- Automation and Tooling: Experience developing automation tools and implementing configuration management

Nice to have:

- Experience with Kafka or AMPS
- Experience with Kubernetes or Slurm
- Experience developing with PostgreSQL, Clickhouse or KDB/q

## 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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