Graduate Quant Developer
Open Opportunities :: Squarepoint
Apply to this job London, Montreal, Singapore Until 8/21/2026 H-1B sponsor history First posted May 13, 2026 Last posted May 13, 2026
Job description
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
About this role
Summary
Support investment research through software development, data workflows, and collaboration with quantitative teams.
Job title
Graduate Quant Developer
Experience level
entry level
Industry
financial services
Location requirements
London, Montreal, Singapore; remote flexible.
Salary
Not specified
Visa sponsorship
H-1B sponsor history
Management role
No
Skills & keywords
Required skills
PythonC++KDB+/qLinuxgitquantitative discipline
Preferred skills
multiple programming languagesfinancial marketsinternship experienceAI tools
Specializations
software engineeringquantitative researchfinancedata processing
Locations
Structured locations inferred from the posting.
London, UK
On-site City
Montreal, QC, Canada
On-site City
Singapore
On-site City
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