Fintech Retention Audit Lab

Professional presenting charts in a meeting

Learning outcomes

Produce a field-level retention schedule tied to named systems
Design a sampling plan that survives external challenge
Assemble an evidence pack with artifacts instead of prose-only claims
Run an internal dry-run finding with clear residual risks
Brief counsel and executives without overstating certainty

Modules

Module 1 — Inventory honestyCatalog stores that actually hold customer and transaction data, including shadow exports and vendor copies.
Module 2 — Schedule atlasTranslate notices and statutes into clocks per data class; document conflicts instead of averaging them away.
Module 3 — Deletion mechanicsSoft-delete, anonymization, and purge jobs; what logs prove a deletion occurred.
Module 4 — Sampling labChoose populations, pull samples, and record methodology so reviewers can repeat the path.
Module 5 — Evidence pack studioStructure claims, artifacts, and open items into a pack your dry-run audience can navigate.
Module 6 — Dry-run & remediationPresent findings, capture pushback, and prioritize fixes with owners and dates.

Instructor

Sora Kim

Former operational risk lead for a Korea-licensed payment institution. Facilitates Systemintegrationhub cohorts with a bias toward artifacts over slogans. Advises on retention program design; does not provide legal opinions.

Learner notes from this course

Module 4’s sampling worksheet exposed that we always pulled the easiest wallet cohort — active power users — instead of closed accounts where deletion claims mattered most.

— Daeun, Seoul

I rated the lab ★★★★☆. The dry-run was excellent; I wish Module 3 had one more hour on tape backups.

— Platform-style note, cohort 25-A

FAQ

Who should attend?

Risk, compliance, data platform, and security engineers who share ownership of retention. Solo counsel seats are welcome but work best paired with someone who can query systems.

Is this a certification?

No. You receive a completion letter describing modules finished. We do not issue regulator-recognized auditor credentials.

What is a real limitation of this lab?

We use synthetic ledgers and redacted examples. We cannot validate your production purge jobs remotely, and we will not sign management assertions for your board. Teams needing live system inspection should consider Platform Companion after the lab.

How does pricing work?

Seats are invoiced under the Evidence Studio tier listed on Pricing. This page does not process payments.

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