Quant jobs / Tower Research Capital

Quantitative Research Internship – Central Execution (6 Months)

A six-month PhD internship on a central execution desk, researching execution costs and liquidity. It combines modelling, simulation and causal analysis.

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.

Study liquidity and trading cost patterns in microstructure data
Build simulations and analytics for execution decisions
Contribute to execution research libraries
Evaluate models and do causal analysis
Build pipelines for noisy data

What they ask for

Required

Current PhD student in a quantitative field
Maths, statistics, optimisation and ML
Data mining
Python, C++ or Rust
Interest in microstructure

Preferred

Order-book data
Transaction cost analysis
Optimal execution

Education: Current PhD student at a top university in a quantitative discipline.
Experience: PhD students; no experience required
Languages and tools: Python
C++
Rust

How to prepare

Study market impact and optimal execution
Analyse order-book data
Learn causal inference
Build a small cost-analysis project

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.