Flood Risk Data Modeller
1 day ago
Floodbase is transforming the flood insurance landscape by harnessing the power of data-driven insights. We're committed to making flood insurance more accessible and affordable for all, leveraging cutting-edge technologies to continuously monitor flooding globally. Our solutions empower re/insurers and public sector organizations to design, underwrite, and monitor parametric flood insurance products.
We're seeking an exceptional Flood Risk Data Modeller to join our technology team in Brooklyn, NY or Boston, MA. As a key member of our team, you will be responsible for developing innovative methods to estimate flood risk. This role requires expertise in statistical inference, exploratory data analysis, and data visualization, preferably using Python or R. You will also need to be comfortable building methodologies and features within nascent markets with ambiguous requirements.
The ideal candidate will have prior experience working with complex data models and statistical analysis. Strong communication skills are essential, as you will work closely with stakeholders from machine learning scientists to software engineers, senior management, and external audiences. A Bachelor's degree in a quantitative discipline is required, with a graduate degree being a plus.
Key Responsibilities:
- Design and improve methodologies and models for estimating flood risk and event damage with Floodbase data
- Use Floodbase data and models to estimate flood risk for businesses, governments, and communities
- Statistical analysis of flood frequency and risk profiles, and how they change over time
- Develop creative solutions that balance the needs of (re)insurers and risk holders
- Actively support insurance carriers through their underwriting process, resolving questions about Floodbase methodology, payout structure design, and data
- Develop repeatable methodologies for program pricing models that can be easily repeated for submissions
- Bachelor's degree in Engineering, Statistics, Mathematics, Earth Science, Data Science, or related quantitative disciplines (a graduate degree is a plus)
- Prior experience in the risk transfer domain preferably within NatCat perils such as wildfire, earthquakes, tropical cyclones, severe convective storms, and/or floods is a plus
- Demonstrated understanding of (re)insurance risk is a plus
- Experience working with modern technical data platforms including APIs and other automated data delivery mechanisms is a plus
- Competitive salary range $120,000 - $180,000 per annum, based on experience and qualifications
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