Precision in geocoding plays a critical role in catastrophe modeling accuracy. Even small location errors can significantly impact loss projections, risk assessment, and pricing, especially for perils like wildfire and flood. Learn how improving geocoding quality leads to better data integrity and more informed decisions with Juniper Re.
Catastrophe modeling is evolving, demanding more transparency, clearer assumptions, and stronger insight into frequency perils. As Adam Miron explains, insurers can no longer rely on black-box models — they need visibility that matches the pace of today’s risks.
Southern California wildfires leave soils water-repellent, raising flash flood and mudslide risks this winter—homeowners and insurers must reassess flood exposure now.
Juniper Re expands into London with James Hawke as Head of Office, enhancing global reinsurance solutions and deepening market relationships
Juniper Re raises insured loss estimate for Los Angeles wildfires by $10 billion to $25 billion–$30 billion, reflecting a surge in damaged properties.
Juniper Re warns Los Angeles wildfires could trigger $15–$20 billion in insured losses, highlighting the critical need for strategic risk management.
Juniper Re, backed by BRP Group, is the premier reinsurance career destination—driving innovation, independence, and collaboration to attract entrepreneurial talent.
Wildfire risk modeling: Juniper Re and CAPE® Analytics leverage defensible space and Firewise USA® status to slash loss estimates and boost underwriting precision.
One week post landfall, 44% of residential property claims are reported for Hurricane Milton.
Juniper Re data shows 60% more wind exposure from Hurricane Helene than NOAA, with key differences in land impact across Florida and South Carolina.
