Quant jobs / Tower Research Capital

Quantitative Trader Intern (PhD)

A 4–6 month or 10-week internship for PhD students on a high-frequency trading team. A mentor guides research on existing strategies.

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.

Research and enhance strategies with a mentor
Explore ideas in market data and microstructure
Build analysis tools
Calibrate exchange simulators

What they ask for

Required

PhD student in a quantitative field
C++, R, Python or similar
Problem solving
Interest in markets
Availability for 4–6 months or 10 weeks

Preferred

Industry experience
Machine learning

Education: PhD student in maths, statistics, physics, electrical engineering, computer science, economics or similar.
Experience: PhD students
Languages and tools: C++
R
Python

How to prepare

Analyse tick data to find signals
Build a simulator
Study market microstructure
Practise probability puzzles

What to study

The HFT 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 Tower Research Capital’s site before applying: requirements, location and pay can change after we check them.

View the posting on Tower Research Capital’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Tower Research Capital and doesn’t handle applications.