Python Engineer – Quant Data Infrastructure (Systematic Trading)

B Posted byRecruiterMy client, a top-tier systematic trading firm, is looking for a Python-focused engineer to build and optimize the data pipelines that power its quantitative research. This role sits at the intersection of data engineering, tooling, and research infrastructure—you won’t just move data; you’ll design the systems that allow quants to extract signal from it.

The Role in a Nutshell

You’ll be the  go-to problem solver  for quant researchers, ensuring they have clean, structured, and instantly accessible data for modeling. Your work will involve :

• Transforming raw, messy datasets  (market data, alternative data, unstructured feeds) into research-ready formats.
• Building high-efficiency pipelines  in Python  (this is about lean, performant code).
• Creating simulations and tooling  that let quants test ideas faster.
• Automating data validation  so researchers can trust what they’re working with.

This isn’t a generic data engineering role—you’ll be  deep in the trenches with quants , understanding their needs and building solutions that give them an edge.

Who We’re Looking For

Why This Role?

If you love  solving hard data problems with code , this is your niche.