Teams at Jupiter Intelligence

Own data pipeline integrity, validation, monitoring, and reliability for climate-risk products. Design automated data quality frameworks, investigate infrastructure issues, coordinate with external data vendors, validate data for product and financial models, document post-launch processes, and communicate quality risks. Collaborate with Engineering, Product, Solutions, quantitative modeling, and architecture teams during product launches and iterations.

Build and scale production Python pipelines for economic and financial climate-risk models. Responsibilities include transforming research prototypes into tested infrastructure, supporting statistical, econometric, and machine-learning modeling, cleaning large financial and hazard datasets, resolving data anomalies, and collaborating with engineering, product, and client teams to document outputs and communicate findings.