Graduate Quant Developer
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Job Summary
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 selfdrivengraduatelevel candidateswho 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 productiongrade systems that directly support alpha generation and investment decisionmaking. This role is designed to support earlycareer growth through handson development close collaboration and continuous learning in a highly collegiate highperformance 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 datadriven 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 softwaredriven 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 fastpaced 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 technologydriven environment
- Handson experience using git and Linux in teambased or academic projects
Required Experience:
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