Graduate Quant Developer

Aplaro Ltd; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

Squarepoint is seeking a graduate‑level Quant Developer to apply strong quantitative and software foundations in a stimulating environment at the intersection of technology and investment research.

You will collaborate with researchers and technologists to design, build, and maintain scalable production‑grade systems that support alpha generation and decision making. This role fosters early‑career growth through hands‑on development and close collaboration.

Qualifications

• Degree in a quantitative discipline with strong computational/problem-solving skills.
• Proficiency in Python, C++, or KDB+/q.
• Demonstrated software development experience in any setting.
• Familiarity with Linux and Git.
• Ability to work with AI tools to augment development and analysis.
• Strong written and verbal communication.
• High curiosity and quick learning ability.
• Thrives in a fast-paced, collaborative team.

Responsibilities

• Apply quantitative reasoning and software engineering to support investment research and trading.
• Translate business and research requirements into scalable data workflows.
• Collaborate with researchers to design efficient alpha-generation workflows.
• Contribute to data analytics and tooling across asset classes.
• Develop and maintain libraries and frameworks used globally by researchers and traders.
• Work with teams across Investment and Technology departments.
• Gradually take ownership of technical components with direct impact.

Skills

Python

C++

KDB+/q

Software development

Linux

Git

AI tools

Communication

Curiosity

Teamwork

Education

Quantitative degree (Math/Physics/Engineering/CS)

Tools

Git

Linux

Job description

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