Quant jobs / Susquehanna International Group (SIG)

Quantitative Research Internship – PhD

A ten-week research internship for PhD students, with projects modelled on full-time work and mentoring from senior staff.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Apply probability, statistics and mathematical creativity to trading projects
Work with researchers, traders and technologists to turn models into trading ideas
Present findings to mentors and the team
Learn the foundations of quantitative finance

What they ask for

Required

Strong mathematical problem solving
Practical computing skills
Research project experience
Communication
PhD student in a quantitative field

Education: PhD student in the penultimate year in maths, physics, statistics, engineering, CS, operations research or economics
Experience: Current PhD students; no finance experience stated

How to prepare

Complete a small research project on financial data and write it up clearly
Revise probability and statistics, including inference and regression
Learn quant finance basics such as returns, volatility and options
Practise coding data analysis cleanly in one language

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Susquehanna International Group (SIG)’s site before applying: requirements, location and pay can change after we check them.

View the posting on Susquehanna International Group (SIG)’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Susquehanna International Group (SIG) and doesn’t handle applications.