Infradeploy
Short, rigorous programs that teach how to examine scoring, pricing, and decisioning models without drowning in jargon.
Flagship path
Eight modules that walk through inventory mapping, assumption challenge, data lineage checks, and how to write findings that survive internal audit scrutiny.
Designed for analytics leads, model owners, and second-line reviewers who need shared language before a formal validation cycle.
Why teams enroll
Participants leave with checklists for documenting conceptual soundness, monitoring triggers, and override patterns — materials that map cleanly into Korea-facing governance packs.
We practice asking hard questions about feature stability and backtesting windows, then rehearse how to escalate gaps without creating needless friction.
Sessions focus on thin-file underwriting, partner-sourced scores, and rapid model iteration — the places audits usually find weak spots.
From recent cohorts
The module on override logs finally gave our Seoul product risk squad a format that audit accepted on the first pass.
Min-jun Park, Head of Credit Analytics
Useful depth on challenger models. I still wish the homework had more time for code review, but the finding templates were immediately usable.
Elena, Busan
Field notes
Tell us which products are under review. We will point you to the right program or a working session with faculty.
