$150–250/hr · Mercor · Hourly, 20 hours a week
An expert who predicts when sell-side analysts will publish research updates following corporate events and evaluates whether AI-generated analyses meet professional standards.
What you would do
- Forecast the timing and key conclusions of analyst reports following corporate catalysts
- Reason from filings, earnings calls, consensus estimates, valuation models, and ratings to predict analyst views
- Document the institutional processes that determine when and how equity research is published
- Evaluate AI-generated financial analyses for completeness, rigor, and alignment with professional standards
- Write reference answers explaining why correct responses meet institutional research standards
Who they want
- Former lead or senior associate sell-side analyst who personally published post-catalyst research in a specific sector
- Deep command of financial filings, earnings analysis, valuation models, consensus estimates, and analyst ratings
- Typically 8+ years of direct equity research experience or equivalent demonstrated performance
- Experience at top-tier investment banks, institutional investor-ranked teams, or leading research franchises
- Ability to reason strictly from historical information without forward-looking bias
Main skills
What the interview asks about
1.Post-catalyst report forecast
Predicting analyst reaction to specific corporate events requires understanding the sell-side workflow and what triggers coverage updates.
For example: “Acme Corp reports earnings that beat consensus on revenue but miss on guidance. As of the earnings call date, their lead analyst at a major bank has not published. What would you expect that analyst to address in a research update, and when might they publish?”
2.Valuation methodology application
Sell-side analysts rely on specific valuation approaches and financial metrics, and predicting their conclusions requires mastering these frameworks.
For example: “A biotech stock falls after trial results miss efficacy targets. Trading at 8x forward versus historical 12x. How would the analyst approach revaluation and what price target would you forecast?”
3.Sell-side research workflow
Understanding institutional processes, review cycles, and publication timelines shapes when analysts actually publish following catalysts.
For example: “Materials analyst at a major bank published detailed report two weeks ago. Supply disruption announced today. What timing factors determine an immediate update versus waiting?”
4.Point-in-time reasoning discipline
Reasoning without hindsight prevents contamination by events that occurred after the cutoff, which is critical for training AI systems correctly.
For example: “On January 15, you are evaluating what an analyst would have concluded about a retailer. You know the full-year results, announced February 1. How do you construct your forecast using only December data and pre-earnings expectations?”
5.AI research analysis evaluation
Distinguishing between AI-generated analyses that capture real sell-side thinking from those that miss institutional standards requires deep knowledge of the craft.
For example: “AI predicts an analyst lowers price target 15 percent after guidance cut. AI reasoning addresses earnings miss but omits management credibility assessment. Why incomplete?”
A task you may get
Given analyst, catalyst, and cutoff date, predict research update timing and content. Grade an AI analysis against institutional standards.
How to prepare
- Review 5-10 recent sell-side research reports from your sector and document the specific reasoning, valuation models, and recommendation changes
- Study how top-tier analysts handle post-catalyst updates: timing, methodology, and consistency with prior views
- Practice applying institutional valuation frameworks to real earnings surprises without using subsequent data
- Review your own publications or prior research and prepare to discuss specific forecast decisions and how new information changed analyst views
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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