Quant jobs / Tower Research Capital

Quantitative Developer – Python

A developer embedded with on-site quant researchers, building Python research tools for a trading desk. It supports the desk's strategy research and APAC work.

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.

Build Python tools used in strategy research
Improve the simulation and backtest framework
Monitor and maintain research jobs
Iterate with researchers to improve strategy P&L
Support the global team on APAC research

What they ask for

Required

Strong Python
NumPy, pandas, Polars
2+ years of Python development
Problem solving
Collaboration across time zones

Preferred

C++
Bash
Workflow scheduling
Equities and equity derivatives

Education: Bachelor's in computer science or engineering (or equivalent experience); master's preferred.
Experience: 2+ years of Python development
Languages and tools: Python
C++
Bash
Markets: equities, options

How to prepare

Build a vectorised backtester with NumPy and Polars
Profile and speed up Python research code
Learn workflow schedulers such as Airflow
Study equity and equity-derivative basics

What to study

The HFT Quant Developer 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.