AI-enabled real-time analytics for trading and risk

Challenge

Trading, client and market data sat in disconnected systems, slowing risk assessment and decision-making for the front office.

Approach

• Designed a unified analytics platform on Redshift, Glue, Aurora and Athena.
• Integrated trading, client and market feeds with governed data quality and security controls.
• Enabled near real-time dashboards and analytical models for risk and trading teams.

What I took away

• Latency targets should be set by the decision they support, not by the technology available.
• Data quality controls belong in the ingestion path, not in downstream dashboards.