Quant jobs / Tower Research Capital

Quantitative Trader / Researcher – EMEA

A trader/researcher role on a trading team, building algorithms on the firm's in-house system. Strategies target patterns in market behaviour at high to mid frequency.

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 high to mid frequency alphas
Design and deploy trading algorithms
Analyse market data and alternative data
Build analytics tools and libraries
Calibrate exchange simulators

What they ask for

Required

STEM degree
Strong maths and statistics
Back-testing and simulation
Autoregression and PCA
Large tick-data analysis
Signal generation
Python and/or C++

Preferred

Quantitative trading experience

Education: Bachelor's, master's or PhD from a top university in maths, statistics, computer science or similar.
Experience: Prior quant trading preferred but not required
Languages and tools: Python
C++

How to prepare

Build a signal on tick data and backtest it
Revise time series methods
Study microstructure
Practise Python or C++

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.