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Checklist, in AI in Markets

LLM Finance Evaluation Design Checklist

Before a finance LLM can be trusted or compared, it needs an evaluation that actually predicts production behavior. This checklist covers designing that evaluation, distinct from running it on a single deployment.

12 items. Published May 26, 2026. By AI Fin Hub Research.

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Sections

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Section 1

Phase 1: Representative test set

3 items

Use the Prompt Regression Tester: Run the same prompt against multiple models (Claude 4.5/4.6/4.7, GPT-5, Gemini 2.5) with your own keys. Diff outputs, score drift, catch regressions.

Section 2

Phase 2: Adversarial coverage

3 items

Use the LLM Finance Error Taxonomy: 12 documented LLM-on-finance failure modes (hallucinated ticker, stale price, units, currency, off-by-100, fictional source, more). Paste output, see flags.

Use the Prompt Injection Tester: Red-team a finance agent against 23 documented prompt-injection attacks — direct override, role confusion, indirect injection via retrieved content.

Section 3

Phase 3: Metrics

3 items

Use the Structured Schema Validator for Finance: Paste LLM JSON output and validate against four pre-built finance schemas — research output, trade decision, risk snapshot, peer comparison — with sanity.

Section 4

Phase 4: Validity

3 items

Tips

Small moves that make the checklist easier to finish

An eval built from clean toy examples is a confidence-generating machine that predicts nothing. Draw the test set from the messy real inputs the model will face, or the score will flatter every model equally.
Generic similarity metrics hide the errors that matter in finance. A summary that gets every word right except the revenue figure scores well on overlap and fails in production, so score the numbers exactly.
Keep part of the eval private. Published benchmarks leak into training data, and a model that has seen the test answers is not being evaluated, it is being recited.

Sources

  1. Data Contamination: From Memorization to Exploitation , Magar, Schwartz, ACL (2022)
  2. Artificial intelligence in UK financial services 2024 , Bank of England and Financial Conduct Authority (2024)

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