This quantitative trading firm is backed by experienced founders and strong capital, and they’re now expanding their platform to drive their ML strategies.
You'll work directly with researchers - building scalable Python tools to deploy models, working on portfolio optimisation, and driving monetisation across the stack.
It’s a clean-slate environment: no legacy, no silos, and real ownership. If you’re someone who prefers to build the machine itself rather than be a part of it, you’ll have the chance to help define how research becomes alpha.
Want to be at the intersection between machine learning and systematic trading? Apply or reach out directly at megan@saragossa.io
No up-to-date CV required.