Equity Research Analyst (Paid Study)

What We're Researching

We're hiring equity research professionals to evaluate initiation of coverage draft notes for a paid study. The goal of this research is to ensure financial forecasts, valuation methodologies, and accounting practices meet high analytical standards. Your insights will help us refine our financial modeling evaluation processes and identify common accounting inconsistencies in early-stage coverage reports.

How It Works

During this remote session, you will be presented with an initiation of coverage draft note for a specific asset or company. You will walk us through your process for reviewing the attached valuation methodologies and financial forecasts. We will ask you to actively identify any analytical errors, accounting inconsistencies, or gaps in the provided financial models. Finally, you will provide structural feedback on how the draft note compares to standard institutional research reports.

Who This Is For

We are looking for seasoned equity research analysts, investment analysts, and financial modeling experts who regularly produce or review coverage notes. You should have strong practical experience with valuation methodologies and deep knowledge of accounting principles. We welcome sell-side equity analysts, buy-side investment analysts, and portfolio managers who are comfortable tearing down complex financial forecasts.

What You'll Do

• Review an initiation of coverage draft note and its accompanying financial models.
• Evaluate the accuracy and logic of the proposed valuation methodologies.
• Identify analytical gaps, accounting inconsistencies, or aggressive forecasting assumptions.
• Walk us through your thought process for validating institutional financial research.

Who Should Apply

• Professional experience as an equity research analyst, investment analyst, or similar financial role.
• Strong background in reviewing or authoring initiation of coverage notes.
• Deep understanding of valuation methodologies and financial forecasting.
• Comfortable identifying and explaining accounting inconsistencies in complex models.