Intraday Power Quant

A european proprietary trading firm is looking for a Lead Intraday Quant to build out the quantitative analytics and data function for its short-term power desk. This is a newly created role on a desk that is already growing under an experienced head of intraday trading, with a clear mandate to expand from discretionary trading into algorithmic execution over the next phase of growth.

What you'll do:

• Own the quantitative analytics and data infrastructure underpinning the desk's intraday power trading, from model build through to production tooling.
• Build and, over time, run a team as both the analytics and algo trading lead.
• Work directly alongside the desk's discretionary traders, turning market structure, fundamentals and data into usable signals and decision-support tools.
• Take a hands-on role in developing, and eventually trading, intraday algo strategies as the desk builds out its systematic footprint.
• Partner with the team on model validation, backtesting and risk analytics across the intraday book.

Your profile:

• A minimum of 3\+ years in the short-term prop power trading space.
• Strong Python proficiency.
• Comfortable running quant analytics end to end, not just research, and genuinely interested in eventually trading algos yourself rather than staying purely on the analytics side.
• A builder: someone who wants to shape a function from the ground up and grow a team under them as it proves out.

Why this role:

This is a genuinely new function on a growing desk, not a backfill, with a direct path to building and leading a team as it scales. If you've been doing this work inside someone else's structure and want to build your own, this is designed for exactly that.

Pre-Application:

• Please do not apply if you are looking for a contract work
• Please ensure you meet the required experience section prior to applying
• Allow 1-5 working days for a response to any job enquiry

Your application is subject to our privacy policy, found here: https://www.thurnpartners.com/privacy-policy