Quantitative / Multi-Asset Research Analyst

We are looking for a Quantitative / Financial Analyst. We are a lean, systematic multi-asset fund trading equities, fixed income, and commodities/energy derivatives. You will be responsible for the core analytical pipeline: transforming raw market data into production-ready trading signals and stress-testing risk models.

What we are looking for:

1. A solid background in Math, Physics, Finance, or Economics. You don't need a PhD, but you should love logic.
2. You can comfortably use Python to manipulate data. Good knowledge is a big plus.
3. You understand how markets works, how options work and what a bond yield curve looks like.

Beyond Python, Excel will be your primary playground for prototyping models, organizing data, and quickly sanity-checking different strategy variants and option structures. We don't care about corporate fluff and there will be no endless daily meetings or exhausting stand-ups wasting your time. Instead, your main focus is to dig into the data, analyze different market setups, and deliver crisp, clear reports with sharp feedback on what the numbers are actually telling us. This is a fully remote role with total operational flexibility, as long as you stay locked in during trading hours to keep our analytical pipeline running.