Software pain points
- Daily risk packs require manual joins across trade systems, market data, Microsoft Excel, and BI exports
- Limit breaches are found quickly but approvals, comments, and remediation owners are scattered across email and chat
- FRTB capital drilldowns are hard to explain from final charge back to risk factors, buckets, sensitivities, and source data
- Stress testing libraries become stale because new geopolitical, rates, FX, spread, or commodity events are added manually
- Model validation evidence is recreated for each audit or regulatory review
- Analysts use unmanaged Python notebooks for production diagnostics without reproducible inputs or approvals
