Graduate Quant Developer Squarepoint Capital · London, United Kingdom 13 hours ago

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 #J-18808-Ljbffr