Quant jobs / IMC Trading

Quant Performance Engineer (Graduate)

A graduate role applying quantitative research and experiments to exchange and network technology, to improve IMC's ultra-low-latency liquidity taking and quoting. It sits between traders and hardware and software engineers.

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.

Analyse large datasets to understand exchange behaviour
Design strategies to improve quoting and liquidity taking around exchange microstructure
Build Python ETL pipelines for latency research
Test and probe network and systems technology to understand its limits
Try LLM tools to speed up data and research tasks

What they ask for

Required

Student graduating between September 2026 and July 2027
Degree in CS, engineering or a related technology field
Proficiency in a programming language
Exceptional quantitative ability
Available to start full-time in February or August 2027

Preferred

Statistical modelling, ML or networking experience

Education: Degree in computer science, engineering or a related technology field
Experience: New graduates
Languages and tools: Python

How to prepare

Learn how exchange matching engines and market data feeds work
Measure network latency with packet captures
Build a Python ETL pipeline for tick data
Study basic order book microstructure and queue priority

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.