Equity Analyst Research Practitioner (Client Role)
Job Description
Key Skills Required
Master these to land this role
Want to know if you're a match for this job?
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.
Requirements
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.
How would you rate this job post?
See what other professionals think about this role.
Similar Opportunities
Senior Political Forecasting and Research Analyst
weekday
United StatesAdvanced Excel Expert for AI Training Data
weekday
United StatesData Scientist Evaluator for AI Research Projects
weekday
United StatesCentral Bank Communication Analyst (Non-G7 Focus)
weekday
United StatesMore Openings at Weekday
Practicing Inpatient Hospitalist (MD) – Clinical Documentation Review for Healthcare AI
Weekday
United StatesDomain-Specific Document Reviewer
Weekday
United StatesMolecular Biology Subject-Matter Expert for AI Training Data
Weekday
United KingdomMolecular Biology Subject-Matter Expert for AI Training Data
Weekday
United KingdomExplore Top Companies in this Space
Meet Dex
Agentic Recruitment & HR Tech / AI Sourcing & Talent Matching / Enterprise B2B SaaS / Technical Career Platforms
Jobgether
HR Tech & Remote Work Marketplaces / AI Sourcing Platforms & Job Aggregators / Global Talent Acquisition & Recruitment Solutions
Somewhere
Recruiting / HR Tech / Remote Work
TestGorilla
HR Tech / Recruitment / Talent Acquisition
Weekday
View Company ProfileWeekday is an AI-powered recruitment platform designed to act as a fully automated outbound sourcing engine. Instead of posting a job on traditional boards and waiting for active job seekers to apply, Weekday empowers companies to proactively hunt top-tier tech talent. They maintain a massive database of over 250 million profiles (heavily focused on the US and India) complete with verified contact data. Their AI contextually screens candidates to find the perfect fit, and then the platform automatically runs personalized, multi-channel outreach campaigns to engage those passive engineers and bring them directly into your interview pipeline.
Safety First
- Never pay for a job application.
- Do not share sensitive bank info.
- Verify the client before starting work.