Graduate Quant Developer
London Montreal Mid-level Data Science
At a glance
Mid-level Data Science role at Squarepoint Capital. London · no salary stated · we estimate £70,750–£131,900.
Estimated pay
Squarepoint Capital has not published a salary for this role. The figure below is our estimate, not theirs.
£70,750 – £131,900
What the middle half of mid-level data science roles in London paid, among postings that did state a salary.
Worked out from 8 postings that stated pay, median £91,250. Last updated Oct 26, 2026.
RoleData Science
SeniorityMid-level
LocationLondon
PostedMay 12, 2026
Also hiring inMontreal
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build data workflows that turn research and business needs into systems that can scale and be maintained
- Work with quantitative researchers to create efficient processes for generating investment signals
- Develop and maintain tools, libraries and frameworks used by researchers and traders
- Support investment research and trading with quantitative analysis and software engineering
- Coordinate with investment and technology colleagues, then take on technical components over time
What you bring
- A degree in a quantitative subject such as mathematics, physics, engineering or computer science
- Working knowledge of Python, C++ or KDB+/q, plus some software development exposure through a project or role
- Familiarity with Linux and version control, along with practical use of AI tools in development, analysis or research
- Clear communication and the ability to learn and work well with others in a fast-moving team
Who this fits
This graduate-level role suits someone early in their career who wants to apply quantitative and coding skills to investment research. You’ll collaborate with researchers and technology colleagues, with responsibility for technical components growing over time.
From the employer
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
- 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
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.