Industries
Banking and Capital Markets
Risk, fraud, customer and treasury analytics under strict controls.
Overview
Banks and capital-markets firms operate on large volumes of transactions where small improvements in risk estimation, monitoring or servicing have significant effect. They also operate under strong regulatory and model-risk expectations.
Common challenges
- High false-positive rates in transaction and conduct monitoring
- Fragmented customer data across products and channels
- Model governance and explainability obligations
- Pressure to digitise servicing while controlling cost
Where AI and data science help
Transaction monitoring
Combine rules and models to prioritise alerts for investigators.
Credit risk scoring
Interpretable models with documented validation and monitoring.
Customer analytics
Segment and anticipate needs across the relationship.
Regulatory data lineage
Trace reported figures back to source systems.
Typical data sources
- Transactions and payments
- Customer and account records
- Market and reference data
- Case and investigation notes
Responsible use
Engagements respect applicable banking regulation and your model-risk policy. We design documentation and validation evidence from the outset.
Bring us a decision you want to improve.
Tell us about the problem and the data you have. We will reply with a candid view of where we can help.