What the work actually involves

The client is training models to do the analytical work of a banking analyst and associate, which means the models need examples of that work done correctly and, just as importantly, explanations of why wrong versions are wrong. A typical task might hand you a half-built Excel operating model with a circular reference and a mis-signed working capital adjustment and ask you to fix it, then write out what broke and how you diagnosed it. Another might give you a screening universe for a sponsor buyer and ask you to justify inclusions and exclusions. Another might be a five-page pitchbook excerpt where the football field is inconsistent with the comps page and the strategic rationale is boilerplate — you mark it up the way a VP marks up an associate's draft.

  • Building and troubleshooting Excel valuation and transaction models — DCF, trading and transaction comps, accretion/dilution, LBO
  • Buyer and target screening with written rationale for the cut
  • Producing and critiquing pitchbook-style materials for numerical accuracy and strategic coherence
  • Written explanations of accounting treatments, purchase price allocation, synergy phasing, sensitivity drivers
  • Tracing how a single assumption propagates through to the output and saying so in plain language

What the screen looks for

micro1's screening is AI-led and conversational, and it follows up. Stating that you ran comps is not the same as explaining which multiple you led with for a given sector and why, or how you handled a target with negative EBITDA. Expect probes into deal-level specifics — your role on live processes, what you owned versus what you reviewed, the mechanics you can defend without a screen in front of you. The bar described is former third-year senior associate or VP from an M&A or coverage team at a bulge bracket, established boutique, or sector advisory firm. No AI or machine learning background is required or expected; the value is the banking judgment.

Logistics

Remote, contractor, asynchronous. Work is delivered through the platform's task interface on your own schedule, though some engagements include live or recorded verbal explanation components. Volume varies by client demand — contributors commonly commit 10–20 hours a week, and the engagement can extend or taper with project needs. The $175–300/hr band is what has been observed on this listing, not a guarantee; placement within it tends to track seniority and how much review work versus production work you take on.