Design and build scalable, low-latency backend services that ingest, transform, normalize and serve client data — budgets, financial positions and physical positions — that powers risk modeling across the Risk & AI Vertical.
Build and operate the custom data and risk feeds that deliver personalized, client-specific risk views, including KnowRisk position & budget modelling and Strategy Builder hedge recommendations.
Process user data and usage signals, and expose them to AI risk models so insights and recommendations adapt to each client’s portfolio, exposures and permissions.
Architect event-driven pipelines (Kafka / ActiveMQ) for high-throughput, reliable processing, and expose data to downstream Nexus surfaces via well-designed APIs and streams.
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