Graduate Quant Developer Squarepoint Capital · London, United Kingdom 13 hours ago

Tradermath; Greater London; Presencial; GBP 80.000 - 130.000; Jornada completa

Descripción de la vacante

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

Formación

• Degree in a quantitative discipline (e.g. Mathematics, Physics, Engineering, Computer Science) with a strong interest in computational and software-driven problem solving.
• Prior exposure to software development in a commercial, academic, or research environment (internships, projects, work experience, or personal projects).
• Familiarity with Linux and version control systems (e.g. git).
• Clear written and verbal communication skills.
• Ability to work effectively in a fast-paced, collaborative team environment.

Responsabilidades

• Apply quantitative reasoning and software engineering to support investment research and trading.
• 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.

Conocimientos

Python

C++

AI tooling

Software development

Communication

Educación

Bachelor's degree in quantitative field

Herramientas

KDB+/q

Git

Linux

Descripción del empleo

Position Overview:

Squarepoint is seeking talented, curious, and self‑drivengraduate‑level 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, 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