$150–250/hr · Mercor · Hourly, 20 hours a week
You forecast how corporate catalysts propagate through interconnected companies and affect their valuations.
What you would do
- Map suppliers, customers, competitors, and substitutes from filings and industry transcripts to identify related parties
- Estimate direction, magnitude, horizon, and confidence of impacts on revenue, margins, and valuations
- Distinguish material direct exposure from weak or thematic connections that will not affect the business
- Review AI model output against a professional analyst standard to identify gaps and errors
- Document your reasoning chain to show how each impact mechanism flows from the catalyst to the bottom line
Who they want
- Senior investor or analyst with 8+ years in sector-focused or catalyst-driven strategies, backed by direct EDGAR filing research capabilities
- Direct experience mapping company networks from EDGAR, footnotes, and exhibits rather than screens or data aggregators
- Track record from multi-manager funds, top asset managers, or specialist research firms like Citadel, Point72, or D.E. Shaw
- Ability to reason forward from a fixed cutoff date without material non-public information or data leakage
- Clear writing that explains financial mechanisms and competitive dynamics to non-specialists
Main skills
What the interview asks about
1.Identifying propagation channels
An analyst must accurately trace how a catalyst reaches connected companies through supply, distribution, and substitution relationships rather than guessing from headlines.
For example: “A semiconductor-equipment supplier announces a major process innovation. How would you identify which chipmakers benefit, in what order, and why a fabless design house might be indirectly harmed?”
2.Valuation mechanism reasoning
Surface-level impact estimates miss the actual cash-flow drivers; analysts need to map whether an event affects COGS, pricing power, volume, or capital intensity.
For example: “Your company competes with a firm that just lost a 30% customer. Walk through how you'd estimate the revenue loss, assess their margin preservation options, and flag which of your assumptions create the most valuation sensitivity.”
3.Distinguishing signal from noise
Weak thematic correlations mislead investors; practitioners must separate material direct exposure from crowd psychology and sector-wide moves.
For example: “An airline fuel-hedging policy changes. Which aviation suppliers face real margin pressure, and which are caught up in sector noise? Name two that diverge and why.”
4.Point-in-time discipline
Analyzing with hindsight or confidential information invalidates the exercise; professionals reason from public data available at a fixed moment.
For example: “It's March 2020, just before supply-chain data emerged publicly. You're analyzing a potential automotive plant closure. What sources can you use, what can't you, and how does that limit your confidence range?”
5.Grading AI reasoning
AI models often miss contextual nuance and supply-chain details; your job is to identify when automated analysis is incomplete or contradicts industry knowledge.
For example: “An AI model rates a technology customer's exposure to a competitor's product launch as 'high' but gives generic reasoning. What industry-specific factors would you check to upgrade or downgrade that confidence?”
A task you may get
Analyze a real-world catalyst from a specified cutoff date using only public filings and industry transcripts, identify three related companies with different exposure profiles, and estimate valuation impact for each using explicit assumptions.
How to prepare
- Study 3-5 earnings transcripts and 10-K/10-Q filings from a single sector to map typical supplier, customer, and competitive relationships
- Review a past merger announcement or capital event and trace how the market repriced related companies over weeks and months
- Practice writing a one-page valuation impact thesis that names specific mechanisms (pricing, volume, COGS) rather than generic direction claims
- Review a conflict-of-interest case or earnings miss where analyst hindsight bias led to wrong earlier predictions, and study what cutoff-time reasoning would have shown
The facts
- Pay
- $150–250/hr
- Hours
- Hourly, 20 hours a week
- Where
- Remote
- Field
- Finance
- Project name
- Jade
- Posted
- 9/14/2026
- Places left
- 10
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