How we change the world
Cyber risk is now one of the greatest risks companies face. At Cyberhedge, we recognize that the best way to manage it is at the CEO / board level.
Which means measuring it in financial terms. We’ve developed a unique model which accurately measures how a company’s cyber posture impacts its market cap.
How you will change
You will be joining a small, elite team. You will be expected to continually perform at a high level, rapidly mastering new tools and techniques.
You will be working side by side with a leading machine learning researcher and an experienced institutional investor. Along with accelerating the research (including your own projects), you’ll build out public-
and client- facing tools. In two years, you will be an expert at developing and deploying advanced machine learning engines for fintech / regtech.
Who you are
You discovered the satisfaction of writing software during your teens and have recently professionalized your experience by obtaining a degree in computer science or related field.
You have experience modelling data in either R or Python and are comfortable with modern web development. We are vi / emacs agnostic, but expect your dot file to be highly customized.
We office in the LHoFT, Luxembourg’s coolest office space and fintech / regtech startup hub. Located in Bonnevoie, it is conveniently reached by train / bus / scooter.
We offer flexible working hours and market-rate salaries.
How to apply
Send us an email telling us about you and why you want to join our team, along with a recent CV.
Contact : Glenn Lawyer - engineering cyberhedge.com