A research resume does not need fabricated trading profit. It needs evidence of the work you actually performed. Useful quantities can describe evaluation, experimental coverage, scale or reproducibility, provided their meaning and limits are clear.
Start by asking what the number lets a reader understand. A large count with no context may add less than a precise methodological decision.
Four alternatives to a return claim
Evaluation: a named error metric against a stated baseline on a defined set of observations. Preserve whether the result was selected after comparing alternatives.
Experimental coverage: the number and purpose of controlled settings, robustness checks or failure cases. Explain why those settings were informative.
Scale: rows, experiments, processing time or memory under a specified workload. Synthetic row counts do not automatically demonstrate difficult data engineering.
Reproducibility: a documented execution path, versioned inputs or a successful independent rerun. State what was reproduced rather than calling the entire study universally validated.
A fictional example
A candidate compared two estimators across eight controlled noise settings. The more complex method performed worse in three settings. They wrote the simulation runner and the diagnostic plots.
“Compared two estimators across eight controlled noise settings; identified three failure settings and documented the simpler method's advantage” is a useful sentence if those facts are true. It shows investigation and a negative result. It does not require translating the metric into money.
The numbers here are invented teaching inputs. Use your own recorded values, or omit a number until you can retrieve it.
Ratios need denominators
“30% improvement” is incomplete. Improvement in what, relative to which value, measured where? If a baseline error is 10 and the candidate error is seven, the relative reduction is three divided by ten. If the metric's direction changes, “improvement” can become ambiguous.
Also distinguish absolute percentage-point changes from relative percentage changes. A rate moving from 20% to 25% increases five percentage points, or 25% relative to its original value.
Preserve the boundary
A forecast error is not P&L. A simulated accounting result is not a live return. A group publication does not establish sole authorship of every method. A short monitoring window does not prove permanent reliability.
Write the strongest statement your evidence supports, then prepare for its least convenient follow-up. A reviewer may learn more from how you explain the limitation than from the headline number.
See the research-focused resume review for the relevant service scope, or use the research memo template to organize the evidence first.
The person and the process
How your document will be reviewed
Reviewer identity and relevant experience will be published here before resume reviews open for purchase.
- Role fit
- Compare the evidence on your resume with the responsibilities in your target description.
- Technical clarity
- Identify your contribution, how it was evaluated and which claims need clarification.
- Editing priorities
- Receive section comments, up to five suggested bullet revisions and a final checklist.
- Follow-up
- One clarification about the delivered feedback, requested within seven calendar days of delivery.
The sample uses a fictional candidate. The service does not include a full rewrite or coaching calls.