Graduate Quant Developer

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