Equity Research Expert - Single-Name Analyst Publications
Boost your chances before you apply.
Weekday AI
US
Summary
The analyst will forecast the timing and content of post-catalyst research notes by reasoning from financial filings, earnings, and market data. They will also review and grade model-generated analyses against professional standards.
Job Description
This role is for one of our clients
Compensation: $150 - $250 per hour
We are building expert-authored forecasting and research data used to evaluate and improve AI models on real financial analysis. Each task asks a practitioner to reason from a fixed evidence cutoff — no hindsight — and document the judgment a strong analyst would have made at that moment.
This role covers single-name equity analyst publications: predicting when a named sell-side analyst will publish after a catalyst, and what that update will contain.
What you will do
- Forecast the timing and content of a named analyst's post-catalyst research note
- Reason from filings, earnings, transcripts, estimates, valuation and ratings to an expected published view
- Document the internal research workflow that determines how and when an equity research report gets produced
- Review model-generated analyses and grade them against your own standard
Who we are looking for
- A former lead sell-side equity analyst or highly senior research associate who personally published post-catalyst research in the exact sector
- Deep command of filings, earnings, transcripts, estimates, valuation, ratings, and the internal workflow behind an equity research report
- Typically 8+ years of direct experience, or unusually strong evidence of equivalent performance
Backgrounds we look at first: Institutional Investor-ranked teams and leading research franchises such as Goldman Sachs, Morgan Stanley, JPMorgan, Bank of America, Citi, UBS, Barclays, Bernstein, Jefferies and Wolfe Research. Former colleagues, direct coverage rivals, and senior buy-side consumers of a named analyst's work are especially valuable. Brand-name experience is a strong first-pass signal but is not a hard requirement — direct experience and performance on the work sample determine who qualifies.
Point-in-time discipline
Every task is graded on reasoning from the stated cutoff without hindsight, data leakage, confidential information, or material non-public information.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Finding a great startup job should not feel like a second job.
Weekday AI brings the most exciting roles from premium YC and VC-backed startups into one place. Our team hand-picks every listing, so you skip the agency spam and the dead links and go straight to companies building things that matter.
Why people use Weekday AI?
Curated roles from premium YC and VC-backed startups
Fresh jobs every week, picked by humans
AI that helps you apply in minutes
Free to join
Your next role should come from a company you are proud to work at. We help you find it.
Browse live roles at jobs.weekday.works
Founded
2022
Company size
11-50 employees
Industry
Technology, Information and Internet
Org type
Privately Held
Finding a great startup job should not feel like a second job.
Weekday AI brings the most exciting roles from premium YC and VC-backed startups into one place. Our team hand-picks every listing, so you skip the agency spam and the dead links and go straight to companies building things that matter.
Why people use Weekday AI?
Curated roles from premium YC and VC-backed startups
Fresh jobs every week, picked by humans
AI that helps you apply in minutes
Free to join
Your next role should come from a company you are proud to work at. We help you find it.
Browse live roles at jobs.weekday.works
Founded
2022
Company size
11-50 employees
Industry
Technology, Information and Internet
Org type
Privately Held