Quant jobs / IMC Trading

Quantitative Developer – Python

A quant developer who owns the path from research idea to live trading, building the simulation, feature and signal systems that connect researchers to production. It sits between research and engineering at a systematic trading firm.

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 backtesting and simulation tooling that models latency and microstructure
Maintain feature and signal pipelines from research to execution
Help tune strategies against real-world constraints
Debug issues that span research code and live execution

What they ask for

Required

3-7 years in quantitative software development
Production Python with pandas or polars
Probability, statistics and time series
Backtesting and simulation frameworks
Working knowledge of ML for systematic strategies

Preferred

Low-latency systems experience

Education: No degree level stated
Experience: 3-7 years in quantitative software development, ideally at a trading firm or systematic fund
Languages and tools: Python
pandas
polars

How to prepare

Build an event-driven backtester that simulates order latency and queue position
Write a reproducible feature pipeline in polars with tests
Study how research code gets validated before deployment
Learn profiling and optimisation for Python data workloads

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 IMC Trading’s site before applying: requirements, location and pay can change after we check them.

View the posting on IMC Trading’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with IMC Trading and doesn’t handle applications.