Graduate Quant Developer

Position OverviewSquarepoint 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 ResponsibilitiesApply quantitative reasoning and software engineering skills to support investment research and tradingLearn to translate business and research requirements into scalable, maintainable data processing

workflowsWork closely with quantitative researchers to design and implement efficient workflows for alpha generationContribute to data-driven analytics and tooling across a wide range of asset classesDevelop, extend, and maintain libraries, tools, and frameworks used by researchers and traders globallyCollaborate closely with peers across our global Investment and Technology departmentsGradually take ownership of technical components and contribute ideas and solutions with direct commercial impactRequired QualificationsDegree in a quantitative discipline (e.g. Mathematics, Physics, Engineering, Computer Science, or similar) with a strong interest in computational and software-driven problem solvingProficiency in at least one of our core languages: Python, C++, or KDB+/qPrior exposure to software development in a commercial, academic, or research environment, evidenced through internships, academic projects, work experience, or personal projectsFamiliarity 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 workflowsClear written and verbal communication skillsStrong curiosity, motivation to learn, and willingness to develop new skillsAbility to work effectively in a fast-paced, collaborative team environmentNice to HaveProficiency in more than one of our core programming languagesExposure to quantitative finance, trading, or financial markets through coursework, projects, or internshipsPrevious experience in a financial services or technology-driven environmentHands-on experience using git and Linux in team-based or academic projects #J-18808-Ljbffr