September 9, 2025 at 6:55 pm

Model risk management for ML — starter checklist?

Model risk management for ML — starter checklist?

I’m researching this for a project and would love real-world input. If you’ve built or shipped something here, what did you learn? Context: I’m Olivia Reynolds and I’m evaluating options for our team.

  • Avatar of Daniel Alcanja

    Daniel Alcanja

    September 11, 2025 at 12:55 am

    Tighten feedback loops with weekly reviews. Adding a datapoint from a Series A fintech I advised. A thin rules layer filtered 80% of noisy alerts.

  • Avatar of Lace Brunsden

    Lace Brunsden

    September 12, 2025 at 8:55 am

    Decide this with numbers, not vibes. If the key metric doesn’t move in 14 days, revert. Legal sign-off took three weeks; budget that into your plan.

  • Avatar of Alex Kugell

    Alex Kugell

    September 13, 2025 at 8:55 am

    Keep the system operable by the smallest competent team. Keep dependencies boring and well‑documented. Biggest risk is invisible complexity creeping in.

  • Avatar of Lace Brunsden

    Lace Brunsden

    September 14, 2025 at 6:55 pm

    Keep dependencies boring and well‑documented. Keep the system operable by the smallest competent team. Biggest risk is invisible complexity creeping in.

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