ML Research Engineer - Greenfield Systematic Macro Desk Build

This hire will work closely with the PM to develop independent ML models and scalable research pipelines across large, complex datasets. This is not a role that requires prior markets knowledge; it is ideal for an engineer who wants genuine exposure to the full lifecycle of applied ML in a live trading environment.

Scope:

• Build and maintain scalable ML research pipelines

• Develop and train large ML models across varied datasets

• Own data ingestion, feature workflows and experiment infrastructure

• Work with distributed compute, parallelisation and ML DevOps tooling

• Write high-quality Python for research and production applications

• Depending on your profile, contribute to execution technology and trading infrastructure

Target:

• Excellent computer science and ML fundamentals

• Strong Python engineering skills

• Experience with distributed computing, scalable data pipelines and model development

• An AI/ML-focused academic background, ideally including a PhD or exceptional MSc from Oxbridge, Imperial, ETH Zurich or leading Paris universities

• Background from a strong technology company, research lab or similarly demanding environment welcome

• Curiosity, independence and an appetite to build rather than simply optimise an established platform

This is a compelling entry point into systematic investing for someone who is technically excellent and wants to see their work deployed in a high-performance environment.

Please get in touch confidentially to discuss.