How we change the world
Cyber risk is now one of the greatest risks companies face, and the consequences affect us all. At Cyberhedge, we recognize that cyber risk is primarily a social / societal risk.
Society can only manage this risk by increased transparency and better reporting.
Cyberhedge allows companies to measure, manage, and report their exposure to cyber risk in terms of its economic impact, the same way other strategic risks are managed and reported.
This rewards those companies which do the right thing and encourages all to adopt best practices.
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. You’ll learn a lot about ML and finance, and are expected to also teach us some things.
In two years, you will be an expert at developing and deploying advanced machine learning engines for fintech / regtech. You will have co-
architected and build the full stack, from hosting environments / APIs, to algorithm development, to visualizations. You will have presented your work at conferences and contributed to open source projects, and will have established a reputation for excellence in the community.
Who you are
You discovered the satisfaction of writing software during your teens, and have been coding ever since. You 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. You are also comfortable with modern web development. You consider yourself native-
tongue fluent in at least one programming paradigm, and naturally think in algorithms and data structures. 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 at >