AI & Data Science in Fintech
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owen-bennett
August 27, 2025 at 1:57 am

Prompt engineering tips for fintech analytics teams?

Prompt engineering tips for fintech analytics teams?

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 Caleb Diaz and I’m evaluating options for our team.

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  • Avatar of Filipe Gonçalves

    Filipe Gonçalves

    August 29, 2025 at 6:57 pm

    Track approval rate, chargebacks, and complaints weekly. Automate sticky edge cases to save analyst time. Process tip that prevented a week of rework.

  • Avatar of Marcelo Pantoja

    Marcelo Pantoja

    August 29, 2025 at 9:57 pm

    Biggest risk is invisible complexity creeping in. Keep the system operable by the smallest competent team. If volume is spiky, budget for burst capacity explicitly.

  • Avatar of Marcelo Pantoja

    Marcelo Pantoja

    August 30, 2025 at 7:57 pm

    Process tip that prevented a week of rework. Start with a pilot and a single success metric. Watch hidden dependencies that slow audits.

  • Avatar of Luke

    Luke

    August 31, 2025 at 8:57 pm

    A thin rules layer filtered 80% of noisy alerts. If the key metric doesn’t move in 14 days, revert. Decide this with numbers, not vibes.

  • Avatar of Daniel Alcanja

    Daniel Alcanja

    September 1, 2025 at 5:57 am

    Add synthetic transactions to catch silent failures. Small anecdote that might help. Calm dashboards mattered more than fancy models during incidents.

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