Join our fast-growing team of cyber, data science and risk experts,
who are on a mission to build the most advanced and accurate models
to financially quantify cyber risk.
Kovrr is growing fast and looking for an experienced full stack engineer to join our platform team. Our innovative work combines cyber, finance and data science with unique UX to help companies put a price tag on their cyber risk exposure. Our platform is used by leading insurance, reinsurance and enterprises around the world, managing total exposed assets of billions of dollars, enabling them to make data-driven decisions to manage their risk.Your role will be in the intersection of Application Engineering, Financial Models and Cyber Data, driving our cyber risk quantification platform forward and enabling us to deliver innovative and effective financial cyber exposure quantification solutions to a broad set of industries.
What will you do?
What are we looking for?
What experience should you have?
As a Senior Data Analyst on our Cyber Risk Modeling team, you will work at the intersection of cyber data and financial modeling. You will be driving model designs, calibration and validation of our cutting-edge financial cyber quantification model, which combines Monte Carlo simulations and probabilistic modeling. Your work will help our clients make data-driven decisions and manage their cyber risks with confidence.Working in a startup requires a high level of versatility, but here is an outline of the expected responsibilities:
It is important to note that the requirements list below is provided as a guide, and we welcome applications from candidates with similar skill sets but may not fulfill all requirements precisely.
Education and experience:
As a Software Engineer on our Cyber Risk Modeling team, you will work at the intersection of cyber data, financial modeling, and production-grade software development. You will be responsible for driving the development of our cutting-edge financial cyber exposure quantification solution, which combines Monte Carlo simulations and probabilistic modeling. Your work will help our clients make data-driven decisions and manage their cyber risks with confidence.
What will you do?
What do you need?