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Cambridge Summer Intern 2026 - Software Engineer at Quantbox Research

Cambridge, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, Python, Large Scale Systems Design, Quantitative Finance

Industry

Financial Services

Description

Quantbox Research are looking for Software Engineering summer interns to join us in Summer 2026 on site at our offices in Cambridge, UK. We are a collaborative team of software engineers and quantitative researchers working together to build systems that utilise large data sets to generate predictive models of securities prices. We work at the cutting edge of technology solving large scale systems problems on a daily basis in our work. Requirements C++ programming experience Nice to haves Python programming experience An interest in large scale systems design An interest in quantitative finance Please note we are unable to sponsor visa applications for Summer Internships. Full details of internship specific benefits will be provided to successful applicants as part of the interview and offer process. Quantbox is a place of friends and colleagues, where people convert their passion into action. We believe in togetherness that brings out the best in ourselves and our Company. Our open and casual work culture gives you the space to innovate and deliver. Everyone on the team is approachable. Employee remuneration packages are reviewed regularly to ensure that they remain competitive. In recognition of our employees’ contributions and performance, for full time permanent roles we provide: Competitive compensation 4 Weeks of paid vacation Medical insurance International team outing Quantbox is an equal opportunities employer.

Responsibilities

Software Engineering summer interns will work on building systems that utilize large data sets to generate predictive models of securities prices. The role involves solving large scale systems problems using cutting-edge technology.