How Fintech Is Using Climate Risk Data for Lending

Episode 32 of Fintech Conversations explores a rapidly emerging trend: lenders incorporating climate risk data into credit decisions. Lucas and Luna examine how startups like Jupiter Intelligence and Riskiq are providing granular data on flood, wildfire, and heat risk, and how banks like JPMorgan and Bank of America are piloting climate-adjusted loan pricing. They discuss the data sources—from satellite imagery to insurance loss models—and the challenges of standardizing climate risk across regions. The episode also touches on regulatory pressure from the OCC and ECB, and the ethical questions of climate redlining. Key numbers: 12 percent of commercial real estate loans in the US are in high-risk flood zones, and climate-adjusted loan losses could add 30 basis points to loss-given-default by 2030. This is a fresh take on credit scoring innovation, moving beyond alternative data like utility payments into geospatial and climate modeling. #Fintech #ClimateRisk #Lending #CreditScoring #ClimateData #JupiterIntelligence #Riskiq #JPMorgan #BankOfAmerica #OCC #ECB #SatelliteImagery #CommercialRealEstate #ClimateRedlining #Business #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo