At a Glance
- Tasks: Develop scalable systems for investment research and collaborate with quantitative researchers.
- Company: Squarepoint, a leader in technology and investment research.
- Benefits: Hands-on development, continuous learning, and early-career growth opportunities.
- Other info: Fast-paced, collaborative environment with opportunities to work on global projects.
- Why this job: Join a dynamic team at the intersection of tech and finance, making a real impact.
- Qualifications: Degree in a quantitative field and proficiency in programming languages like Python or C++.
The predicted salary is between 30000 - 40000 £ per year.
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.
Graduate Quant Developer employer: Dormont Manufacturing Co
Squarepoint is an exceptional employer that fosters a dynamic and innovative work culture, perfect for graduate-level candidates eager to dive into the world of quantitative finance. With a strong emphasis on collaboration and continuous learning, employees benefit from hands-on development opportunities and the chance to work alongside industry experts in a high-performance environment. Located in a vibrant city, Squarepoint offers a unique blend of professional growth and a supportive community, making it an ideal place for those looking to make a meaningful impact in their careers.
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We think this is how you could land Graduate Quant Developer
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We think you need these skills to ace Graduate Quant Developer
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Dormont Manufacturing Co, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
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How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
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