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.

Square point 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.

• 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

• 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

• 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