$80–100/hr
The role in one line
You build infrastructure deal models from documents and assess models constructed by other analysts.
Written by Training Turk from the public listing; it may be incomplete or out of date. Read the full posting on Mercor.
What you would do
- Create a working Excel model of a provided infrastructure transaction, pulling structure and assumptions from deal documents
- Populate the model with appropriate PE assumptions including revenue, capex, leverage, and exit scenarios
- Build live formulas (not static numbers) so the model updates when assumptions change
- Write clear documentation of every assumption and formula source for auditability
- Peer-review two anonymized models submitted by other contractors using a structured scorecard
Who they are looking for
- 2-4 years combined experience: roughly 2 years investment banking in infrastructure, utilities, real estate, or technology M&A; 1-2 years at infrastructure-focused PE firm
- Currently or recently an Associate at infrastructure PE fund or multi-strategy manager with infrastructure portfolio
- Exposure to digital infrastructure sectors including data centers, fiber networks, or telecom towers
- Fluent English and ability to model from source documents independently
What the interview is likely to probe
1.Building model structure without template guidance
This role tests whether you can architecture a financial model from raw materials rather than following a pre-built format.
Expect something like: “You receive a deal pack with equity checks, debt covenants, and operating projections. How do you decide which sheets go in the model and in what sequence?”
2.Documenting assumptions so peers can audit your logic
PE models must withstand scrutiny; undocumented magic spreadsheets create risk; clear sourcing is a technical competency.
Expect something like: “You make a forecast assumption about CAPEX spending based on a sentence in the deal summary. How do you document that source so a peer reviewer can validate it?”
3.Handling deal structure variations in digital infrastructure
Data center, fiber, and tower deals have specific leverage mechanics; misunderstanding these structure mistakes flow through valuation.
Expect something like: “A data center deal has a master lease with a credit-adjusted tenant. How does that shape your model structure differently than a full capex build model?”
4.Identifying errors in peer models under time constraints
Peer review has limited hours; reviewers must spot material issues (formula logic, assumption reasonableness, calculation errors) efficiently.
Expect something like: “Youre reviewing another analysts model and notice theyve used a 2% exit revenue multiple for an infrastructure asset. You estimate 5.5x is market. How do you score this in your review?”
5.Balancing conservative and aggressive case scenarios
PE analysts must present returns under multiple scenarios; knowing which assumptions drive sensitivity is a key skill.
Expect something like: “Your base case EBITDA multiples are 8x entry, 10x exit. A peers model shows wide variance. Is that flagged as poor methodology or proper scenario sensitivity?”
Exercise you may get
Build an infrastructure model from a 20-page deal document package within 10-12 hours, then review two completed models from other contractors and score each against a 6-item rubric with written commentary.
How to prepare
- Review recent infrastructure deals to refresh your understanding of typical leverage structures and return profiles
- Practice building models from raw transaction documents without templates or examples
- Prepare a mental checklist of common model errors to watch for: formula links, circular references, hard-coded values, missing documentation
- Study comparable deals to refine your assumption-setting judgment on entry multiples, capex timing, and leverage curves
Facts
- Pay
- $80–100/hr
- Commitment
- hourly
- Work arrangement
- remote · United States or United Kingdom (remote)
- Eligible locations
- USA, GBR
- Company
- Pearson
- Posted
- 9/17/2026