Specialty finance and capital markets
One borrower, one record, one screening trail.
When a declined applicant asks why, you need to show which data drove the decision and correct it everywhere. That's a party data and lineage question before it's a model question. We fix the data foundation behind each decision: the party master, the KYC data and the lineage.
Book a scoping call
01 / Symptoms
What it looks like.
- The same borrower in origination, servicing and collections under different records.
- Beneficial ownership chains nobody has mapped.
- Screening matches that analysts clear by hand.
- Portfolio reports that don't reconcile to the general ledger.
02 / Where it breaks
Where it breaks, area by area.
03 / Why now
Why this year.
Jan 1, 2027
Colorado SB 26-189 applies from January 1, 2027 to automated decisions in lending. Lenders must explain an adverse outcome in plain language within 30 days, including the personal data used, and allow data correction (National Law Review, July 9, 2026).
Jan 1, 2027
California's rules on automated decisionmaking technology apply to significant decisions, including lending, from January 1, 2027 (CPPA).
ECOA and Regulation B still require specific reasons for adverse credit decisions.
05 / Experience
- Client and instrument data
- Client, counterparty and securities master data at global investment banks.
- KYC and screening
- KYC, AML and sanctions screening data foundations inside customer and counterparty programs.
- Party master
- An organization party master on Databricks for a specialty finance company.
Questions
Will you pass our vendor-risk review?
Expect a security questionnaire and a delivery-location question. We answer both before work starts.
Our bank partner asks about our models.
Their questions usually come back to the data: where it came from, who owns it and how it's corrected. That's what we fix.