At a Glance
- Tasks: Develop scalable systems for investment research and collaborate with top quantitative researchers.
- Company: Join Squarepoint, a dynamic tech-driven investment firm with a team-focused culture.
- Benefits: Gain hands-on experience, mentorship, and opportunities for career growth in a high-performance environment.
- Other info: Collaborative atmosphere with a focus on continuous learning and innovation.
- Why this job: Make a real impact in finance by applying your skills in a cutting-edge tech environment.
- Qualifications: Degree in a quantitative field and proficiency in programming languages like Python or C++.
The predicted salary is between 30000 - 40000 £ per year.
Our team-focused culture brings together exceptional talent in various technical disciplines and empowers everyone to perform in a truly outstanding way.
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.
Graduate Quant Developer in London employer: SQUAREPOINT CAPITAL
As a Senior Quant Researcher in our dynamic New York office, you will thrive in a collaborative and innovative environment that prioritises employee growth and development. We offer competitive salaries, discretionary bonuses, and comprehensive benefits including health and wellness plans, ensuring that our team members are well-supported both professionally and personally. Join us to be part of a forward-thinking firm that values your contributions and fosters a culture of excellence in quantitative research.
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