---
title: 'Trading Infrastructure Specialist – Graduate Programme at Squarepoint Capital'
canonical: 'https://feeny.ai/job/trading-infrastructure-specialist-graduate-programme-squarepoint-capital-london-1d8e89hxqwht'
type: 'job'
last_seen: '2026-09-08'
---

# Trading Infrastructure Specialist – Graduate Programme at Squarepoint Capital

- **Company:** Squarepoint Capital
- **Location:** London Montreal Hong Kong New York, Singapore
- **Posted:** 2026-05-05
- **Last confirmed live:** 2026-09-08
- **Apply:** https://www.squarepoint-capital.com/open-opportunities?id=7757021&gh_jid=7757021

## Job description

Trading Infrastructure Specialists play an important role maintaining mission critical trading software and systems in the Squarepoint technology stack.

In this role you will be joining our Trading Infrastructure Support Team on an 18-month rotation programme. During this time, you will be exposed to a wide array of technologies across our Infrastructure estate and be supported by established members of the team.

At the end of the rotation, you will have the tools and knowledge to move into one of our DevOps/Systems teams, or you can opt to stay within Trading Infrastructure Support.

Things you will learn:

You will be enrolled in a structured training programme with a dedicated mentor who will support you throughout your journey here at Squarepoint. Within the first few months you will learn about the tech stacks for our infrastructure teams and gain exposure to our application stack for trading.

You will work alongside our support team to learn how we address user issues, understand our handling standards, and gain the ability to triage and prioritise problems as they come up. You will have the opportunity to work with technologies such as Linux, Kubernetes, high-performance computing (HPC), distributed storage, load balancing, and more.

Towards the end of the programme there will be 1-week rotations within our DevOps and Systems teams so that you can gain hands-on experience within those areas.

Day-to-day responsibilities

Once initial training is complete, a normal day in this role could involve:

- Troubleshooting and automation across a wide array of core systems
- Engaging with service owners on day-to-day operational issues, triage, manage and resolving incidents
- Supporting observability, workload schedulers, databases, and Linux systems depending on team needs.
- Contributing to automation tasks using Python, Bash, or Ansible.
- Maintain monitoring, alerting, and logging pipelines
- Document issues, update runbooks, to aid your colleagues

Required skills:

- Bachelor’s degree in engineering, Computer Science, or related field
- Basic Linux knowledge
- Familiarity with Python
- Understanding of fundamentals of hardware infrastructure
- The ability to remain calm under pressure, assess competing priorities and remain well-organised
- Scientific curiousity and desire to learn and continuously improve system performance
- Good communication skills

Nice to have:

- Exposure to one or more of containers, Kubernetes, VMs, Distributed Storage
- Understanding of modern telemetry tooling
- Interest in HPC, Schedulers, or CI/CD systems

The minimum base salary for this role is $100,000 if located in New York.  This expectation is based on available information at the time of posting.  This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation.  This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions.  Successful candidates’ compensation and benefits will be determined in consideration of various factors.

## 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 - Systematic Macro](https://feeny.ai/job/quantitative-researcher-systematic-macro-squarepoint-capital-new-york-9av6x0jg4hg4) — New York, NY
- [Quantitative Researcher - Convertible Bonds](https://feeny.ai/job/quantitative-researcher-convertible-bonds-squarepoint-capital-new-york-36as7fafgyg0) — New York, NY