Quant jobs / Tower Research Capital

Senior Quantitative Researcher

A senior researcher joining a new collaborative team at Tower, building systematic strategies from idea to production. The role uses statistics, machine learning and optimisation.

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.

Test hypotheses on large, varied datasets
Build statistical models of instrument returns and valuation
Turn models into strategies by solving optimisation problems
Build research tools and pipelines from data extraction to reporting

What they ask for

Required

Research-level maths, ML, CS or physics
Systematic trading research track record
Statistical and machine-learning modelling
Optimisation
Python or C++
Clear communication

Education: Research-oriented master's or ideally a PhD in maths, machine learning, computer science, physics or similar.
Experience: Strong systematic trading research experience across idea generation, deployment and production analysis.
Languages and tools: Python
C++

How to prepare

Write up a full alpha research project, from data to out-of-sample results
Practise formulating strategies as portfolio optimisation problems
Study overfitting and multiple-testing controls
Build clean, reusable research code in Python

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 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.