Graduate Quant Developer at Squarepoint Capital (London, United Kingdom)
Squarepoint Capital· London, United Kingdom·
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:
Squarepoint is seeking talented, curious, and self‑driven graduate‑level candidates who are eager to apply strong quantitative and computational foundations in a challenging and innovative environment at the intersection of technology and investment research.
As a Graduate Quant Developer, you will work on the front line of our quantitative research business, collaborating closely with quantitative researchers and technologists to design, build, and maintain scalable, production‑grade systems that directly support alpha generation and investment decision‑making. This role is designed to support early‑career growth through hands‑on development, close collaboration, and continuous learning in a highly collegiate, high‑performance environment.
Role and Responsibilities
- Apply quantitative reasoning and software engineering skills to support investment research and trading
- Learn to translate business and research requirements into scalable, maintainable data processing workflows
- Work closely with quantitative researchers to design and implement efficient workflows for alpha generation
- Contribute to data‑driven analytics and tooling across a wide range of asset classes
- Develop, extend, and maintain libraries, tools, and frameworks used by researchers and traders globally
- Collaborate closely with peers across our global Investment and Technology departments
- Gradually take ownership of technical components and contribute ideas and solutions with direct commercial impact
Required Qualifications
- Degree in a quantitative discipline (e.g. Mathematics, Physics, Engineering, Computer Science, or similar) with a strong interest in computational and software‑driven problem solving
- Proficiency in at least one of our core languages: Python, C++, or KDB+/q
- Prior exposure to software development in a commercial, academic, or research environment, evidenced through internships, academic projects, work experience, or personal projects
- Familiarity with Linux and version control systems (e.g. git)
- Ability to work effectively with AI tools and systems, including demonstrable experience using them collaboratively to enhance software development, data analysis, or research workflows
- Clear written and verbal communication skills
- Strong curiosity, motivation to learn, and willingness to develop new skills
- Ability to work effectively in a fast‑paced, collaborative team environment
Nice to Have
- Proficiency in more than one of our core programming languages
- Exposure to quantitative finance, trading, or financial markets through coursework, projects, or internships
- Previous experience in a financial services or technology‑driven environment
- Hands‑on experience using git and Linux in team‑based or academic projects
Why work at Squarepoint Capital
- 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.