Notes

Model review notes for investment teams.

Short technical notes on the questions buyers actually ask before trusting a model, backtest, or quantitative diligence memo.

Start here

Four notes for reviewing evidence and buying statistical work.

Start with the common failure points in model review, then use the published-rate guide to compare a statistical-consulting quote before you accept it.

Backtests

Reported Sharpe versus reproduced Sharpe

Why a headline performance number is not a review result until timing, universe, costs, and code paths can be regenerated.

Findings

A finding taxonomy for model validation

How to separate confirmed defects, material assumptions, unresolved questions, limitations, and remediation items.

Governance

SR 26-2 model discipline for non-banks

How to use model-risk vocabulary without pretending a technical review is regulatory assurance.

Pricing

How much does a statistician cost in 2026?

Published US rates by hour, project, and review — plus the scope, data, deliverable, and seniority choices that move a quote.

Reference asset

Use the notes with the public review standard.

The review standard is the checklist behind the notes: decision context, data timing, reproduction, validation design, finding taxonomy, and handoff boundary.

Open review standard