Quant jobs / Tower Research Capital

Quantitative Trader/Researcher – 2027

A graduate role on a high-frequency trading team, researching and deploying algorithms and handling live trading issues. It also involves some campus recruiting.

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.

Design and deploy HFT algorithms
Explore ideas in market data and microstructure
Build analytics tools and libraries
Calibrate exchange simulators
Handle real-time trading issues

What they ask for

Required

Degree in computer science, maths, physics or engineering
0–2 years' experience
C++ or Python
Linux/Unix
Problem solving
Interest in markets

Preferred

Industry experience
Olympiads or teaching
ML and data modelling

Education: Bachelor's, master's or PhD in computer science, maths, physics, electrical engineering or related.
Experience: 0–2 years
Languages and tools: C++
Python

How to prepare

Build and backtest a microstructure signal
Learn order-book dynamics
Practise probability and coding
Study exchange simulation

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.