36hr → 4min
Risk Refresh Latency
100%
Reconciliation Automated
₹240Cr
Exposure Modeled Daily
The Challenge
Sterling Capital's risk team was running daily exposure reports from 17 disconnected spreadsheets, with a 36-hour data lag and frequent reconciliation errors. The CRO had no real-time view of portfolio risk during market events.
Our Solution
We built a modern data stack on Snowflake with dbt transformation, Kafka real-time streaming from trading systems, and a Looker semantic layer powering executive risk dashboards. Custom Python pricing models for OTC derivatives integrated with the warehouse.
Tech stack
SnowflakedbtKafkaPythonLookerAirflowTerraformAWS
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