Quant jobs / IMC Trading

Principal Research Scientist – Machine Learning

A senior scientific leadership role setting the long-term machine learning agenda for systematic equities. It is aimed at established academics or research scientists and works across the research organisation.

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.

Shape the machine learning research agenda for systematic equities
Spot frontier ML advances and test them as practical ideas
Build proofs of concept for promising methods
Advise and mentor quant researchers on methodology
Guide investment in research tooling and compute

What they ask for

Required

PhD in ML, CS, statistics, maths or physics
Strong publication record
Faculty-level or senior research leadership experience
Deep modern machine learning expertise
Interest in financial markets
Programming with ML frameworks

Education: PhD in machine learning, CS, statistics, maths, physics or a related quantitative discipline.
Experience: Faculty-equivalent or senior research leadership; finance experience not required
Languages and tools: Python
Markets: equities

How to prepare

Build a visible research record with applied ML on financial data
Study how ML methods fail in low signal-to-noise markets
Learn the structure of equity markets and systematic strategies
Practise communicating research direction to practitioners

What to study

The NLP and ML Quant 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 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.