Trading Systems Engineering Intern - Summer 2027 (EU)

Susquehanna International Group, LLP; Greater London; On-site; GBP 20,000 - 31,000; Full time

Benefits offered by this job

Accommodation for interns

Free onsite catering

In-house gym

Weekly social events

Job summary

Susquehanna International Group, LLP is seeking highly motivated students for a 10-week TSE internship between our Dublin and London offices. You will engage in low-latency C++ trading system development and work closely with senior developers on challenging projects at the intersection of trading, data, and technology.

You will gain education on how markets work, including topics like Options Pricing, Machine Learning, Data Analysis Techniques and Game Theory, while developing quantitative and

Qualifications

• Class of 2028: you are a master’s or bachelor’s student in their penultimate year, in a quantitative and/or STEM discipline such as computer science, computer engineering, mathematics or data science.
• Strong software development skills in C++, C or Rust with some Python experience.
• Experience with data using Pandas, Polars or NumPy and strong quantitative, logical reasoning and analytical skills.

Responsibilities

• Participate in a 10-week summer internship program spanning Dublin and London offices.
• Work on challenging projects for trading strategy development teams in low-latency C++ trading system development.
• Learn about markets through structured education and collaboration with senior developers.

Skills

C++

C

Rust

Python

Pandas

Polars

NumPy

Quantitative reasoning

Analytical skills

Education

Master's or Bachelor's student in quantitative/STEM

Job description

Susquehanna International Group, LLP is seeking highly motivated students for a 10-week TSE internship between our Dublin and London offices. You will engage in low-latency C++ trading system development and work closely with senior developers on challenging projects at the intersection of trading, data, and technology.

You will gain education on how markets work, including topics like Options Pricing, Machine Learning, Data Analysis Techniques and Game Theory, while developing quantitative and