No office, United States of America, Remote
Kettle's mission is to balance risk in a changing climate. Kettle uses deep learning and proprietary algorithms to reshape the reinsurance industry and better protect people from the growing risks associated with climate change. Kettle’s first product protects Californians’ businesses, homes, and livelihoods with wildfire reinsurance. To learn more, visit ourkettle.com
You probably have never heard of the $300bn reinsurance industry, but it is the single most important industry in the world to protect ourselves and help society recover from the effects of climate change disasters. This industry is struggling due to a 3x increase in $1B+ crises caused by climate change. Kettle’s aim is to use deep learning to ensure that people’s lives are not destroyed when these events happen. By building the most sophisticated machine learning models to predict when and where wildfires happen, Kettle accurately prices the cost of covering wildfire prone areas in California. We are a machine-learning-powered reinsurer, in that we sell reinsurance to insurers, we don't sell software to reinsurers.
We are looking for a passionate Senior Quantitative Data Scientist to join our team and work with a growing team of engineers, deep learning experts, and other data scientists to model risk using the most advanced tools available.
We strongly encourage people from traditionally underrepresented populations in tech - such as women, People of Color, People with Disabilities, and LGBTQ+ people, etc - to apply!
As a member of Kettle, you:
We offer a competitive package that is based on location and experience. We also offer the following benefits:
We are looking for a highly motivated, successful Senior Quantitative Developer to work on the most advanced reinsurance pricing models and portfolios of risk. They should be a demonstrated self-starter with at least five years experience in some sort of data analysis or engineering profession. This person needs to have the drive to make sure our technology and models are efficient, well-run systems to make the most accurate predictors of risk in the world. Below we have listed out some things we are looking for; you do not necessarily need to check all these boxes to be eligible for this position.
To apply, click the link below or send us an email with your story and the salary you want. CVs, and also links to your LinkedIn and Github profile.
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