Model Risk Management demo

Every model on a control chart from production data, with a revalidation task the month it drifts. 1:14

What the demo shows

A model risk solution for banks: every model inventoried, monitored on live data, validated.

Seven agents score every model each month on production data against its own control limits and open a revalidation task, with its evidence, the moment one breaches; they also re-scope the inventory to SR 26-2, draft validation reports from the evidence and chase every finding — the Head of Model Risk Management and a validator decide and sign.

Transcript

  1. Model Risk Management watches and validates every model a bank runs for its model risk team.
  2. Each model gets a control chart, accuracy, stability, and overrides against its own limits.
  3. This morning, September's defaults arrive for the commercial real estate default model.
  4. Its accuracy line drops below the lower control limit, and a revalidation task opens on its own.
  5. The Drift point opens the evidence.
  6. Office loans defaulted at twice the predicted rate.
  7. Agents read 61 documents and draft the validation, with four findings and their proof.
  8. Under SR 26-2, the Rescope also cuts this year's validations from 214 to 131.
  9. Drift is caught the month it starts, not at next year's validation.
  10. Built on Botminds: agents, data, screens, and governance on one platform.

Transcribed from the film’s narration. Captions are on the player.