Financial institutions must transition from siloed risk tools to an integrated, transparent platform that unifies large‑scale simulation, real‑time monitoring, predictive analytics and automated funding protocols—enabling coordinated management and financing of market, credit, liquidity and climate‑related risks as a single, resilient system. Our framework is built on a modular, open‑source core comprising five specialized services: a high‑performance computing engine for parallel stress‑testing; a unified data pipeline that ingests and normalizes market feeds, balance‑sheet metrics and environmental‑finance indicators; a predictive analytics workspace powered by machine‑learning models; an alerting service that continuously monitors defined risk thresholds; and an automated finance engine that executes pre‑approved interventions (for example, liquidity injections or parametric insurance payouts) via transparent, verifiable contracts. All components communicate through standardized interfaces and are orchestrated by an event‑driven backbone that ensures low latency, end‑to‑end traceability and seamless integration with existing risk‑management infrastructures