Quant jobs / Tower Research Capital

Quantitative Researcher Intern (PhD or Postdoc)

An internship on a trading team, developing mid- to high-frequency algorithms. Interns analyse market data and microstructure.

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.

Explore trading ideas in market data and microstructure
Build tools to find patterns in data
Add to the analytics library
Calibrate exchange simulators
Help design and deploy algorithms

What they ask for

Required

Current student in a quantitative field
Object-oriented programming (C++ or Python)
Linux/Unix
Problem solving
Interest in markets

Preferred

Industry experience
Olympiads or teaching
ML and data modelling

Education: PhD or postdoctoral researcher in maths, statistics, computer science, physics, ML or similar.
Experience: Students
Languages and tools: C++
Python

How to prepare

Analyse tick data in Python
Build a simple exchange simulator
Study market microstructure
Practise statistics and probability

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.