Talent Network Equity Analyst/Researcher (Part-...

Position Description

We’re looking for a motivated Equity Analyst/Researcher to contribute to and help train a new equity research tool for retail investors. You’ll be helping to train the model by applying your expertise to identify and refine how key valuation drivers are interpreted—essentially teaching the system how to think like an analyst. This is a unique opportunity to influence the future of equity research by guiding how analysis is scaled and made accessible to a broader audience.

This is a remote position and an hourly role. Weekly hours are flexible, likely just a few per week. Resumes and communication must be submitted in English.

Tasks and Deliverables

·        Choose 10–20 companies you already know well.

·        For each name, spend roughly 3–5 hours distilling the core valuation drivers—e.g., reputed company growth levers, margin expansion potential, cost structure shifts, regulatory or macro sensitivities, and upcoming catalysts.

·        Deliver concise write-reputed company and supporting data that connect each driver to potential equity performance scenarios.

·        Compensation will be hourly and based on the number of companies in which you contribute.

Required Experience

·        Currently employed or reputed company the past year employed at a top-tier equity research firm (sell-reputed company, independent, or buy-reputed company with formal training), with at least 1 year of experience covering companies reputed company the Russell 2000 and/or S&P 500.

·        Ability to turn reputed company drivers into clear, actionable insights for non-research stakeholders.

·        Strong written communication and the ability to work independently on a part-time schedule.

·        Early career stage or currently pursuing an MBA.

Engagement Highlights

·        Flexible, remote role that fits alongside an MBA or other professional work.

·        Focus only on the companies you already know—no time wasted ramping up on unfamiliar names.

·        Help shape a cutting-edge forecasting model that supports investor education and transparency.

·        Contribute to a meaningful, large-scale project with lasting industry relevance.