Banking & Financial Services
Regulatory figures you can trace back to the system they came from.
What makes banking & financial services data different.
Customer and account data sits in core banking, cards, lending, payments, and wealth platforms, each built at a different time. Supervisors expect every risk figure to trace back to its source, and every model to be validated and monitored after launch.
A customer with a deposit account, a card, and a loan goes through KYC more than once because the records don’t match. Regulatory reports need manual adjustments every cycle, and tracing a single figure to its source takes days. Fraud and credit models are hard to change, and GenAI ideas wait in the model risk queue.
We match customers and legal entities across product systems so each has one record. We build lineage from source system to report line, with quality checks at each step. For models, we set up what your model risk team asks for: an inventory, validation evidence, and monitoring.
Our work in banking & financial services.
Risk and audit can check any reported figure against its source, and each customer has one KYC record.
- 01
Customer and entity master data
One record per customer, household, and legal entity across deposits, lending, cards, and wealth, ready for KYC.
- 02
Risk and regulatory data
Lineage, quality rules, and reconciliations that let you answer a BCBS 239 review with evidence.
- 03
Financial data platform
Core banking, payments, and ledger data on Snowflake or Databricks, with column-level controls on sensitive fields.
- 04
Fraud, AML, and credit analytics
Data for transaction monitoring and credit models, prepared so a validator can follow every feature.
- 05
Model risk management support
Model inventory, documentation, validation evidence, and drift monitoring written to SR 11-7 expectations.
- 06
Finance and regulatory reporting
Ledger-to-report reconciliation and one set of definitions shared by finance, risk, and treasury.
- 07
GenAI with controls
Assistants for operations and compliance staff that only retrieve what each user is entitled to see, with every answer logged.
- 08
Salesforce Financial Services Cloud
Relationship management for banking and wealth teams, reading from the mastered customer record.
What we bring on day one.
Master Data Starter
Match rules for customer, product, and supplier records, tested on your own data first.
Learn moreMLOps Templates
A release path for machine learning models, with approval gates and drift alerts built in.
Learn moreAI Agent Controls
A written scope for each AI agent, checked on every action it takes.
Learn moreThe first step.
We pick one regulatory report and trace its key figures back to source, line by line. You see every manual adjustment along the way and which ones to remove first.
How we work
Ask Dex about banking & financial services data.
Dex answers from our own pages and links to where it found the answer.
Which report needs the most manual fixes?
Start with that one. We’ll trace it with you and show where the numbers break.