Summer Quant Research Intern — London, Data & ML

Synthesis; Greater London; On-site; GBP 19,000 - 20,000; Full time

Benefits offered by this job

Housing arranged

Canteen allowance (Deliveroo)

Cultural events and outings

Job summary

Synthesis is seeking academically strong undergraduates for the Summer 2027 Quant Research Internship in London. You will work with large financial datasets to uncover insights feeding our end-to-end ML pipeline for equities.

Joining a small, long-established team with access to a proprietary on-prem cluster, data library, and the latest LLM tools, you will participate in structured research, receive mentorship, and contribute to a measurable project.

Qualifications

• Pursuing an undergraduate degree in quantitative / STEM field from a top UK university.
• Expected to complete your undergraduate degree in 2027 (including candidates intending to continue directly into a master's).
• Familiar with probabilistic and statistical reasoning.
• Comfortable with python ecosystem when dealing with data manipulation and regression tasks.

Responsibilities

• Work with large financial datasets to uncover insights feeding the end-to-end ML pipeline for equities.
• Collaborate in research discussions within a small, established team.
• Participate in the data-driven research project and deliver a finished product within 10 weeks.

Skills

probabilistic reasoning

statistical reasoning

Python ecosystem

engineering mindset

builder's mentality

financial curiosity

Education

Undergraduate degree in quantitative/ STEM

Tools

Python

Job description

Synthesis is seeking academically strong undergraduates for the Summer 2027 Quant Research Internship in London. You will work with large financial datasets to uncover insights feeding our end-to-end ML pipeline for equities.

Joining a small, long-established team with access to a proprietary on-prem cluster, data library, and the latest LLM tools, you will participate in structured research, receive mentorship, and contribute to a measurable project.