Equity Research Analyst Fellowship (Global)

Remote, USA
Posted Jun 13, 2026
Full-time

Program Summary

The Equity Research Analyst Fellowship is a 6 month, performance driven program for final year students and fresh graduates who want to build real buy-side experience in global public markets. This is a remote role. 

Five fellows will be selected for this program, who will:

Research global public companies across AI, fintech, blockchain, and technology

Develop investment memos.

Build and maintain structured datasets

Track company KPIs and earnings performance

Contribute to investor decks and partner materials

Support LinkedIn thought leadership and research distribution

Assist in developing internal screening and adoption-tracking tools

At the end of 6 months, the top 2 performing fellows will be offered full-time investment roles at Plutus21 Capital.

Key Responsibilties:

Develop structured Investment Memos and Reports

Analyze earnings transcripts, regulatory filings, and investor disclosures

  • Evaluate valuation frameworks, forward multiples, and capital allocation strategy
  • Assess competitive positioning, industry structure, and adoption dynamics

    Build, clean, and maintain research datasets using Python

  • Track and interpret key operating and financial metrics (growth, margins, engagement, monetization, unit economics)
  • Design structured tracking systems and analytical dashboards

  • Contribute to the development of proprietary screening and research frameworks
  • Monitor global equity markets and sector developments

    Track structural trends across AI, blockchain, fintech, and technology

    Produce concise research briefs and periodic market updates

    Contribute to investor reports and research publications

    Support development of research visuals and analytical exhibits

    Assist in communicating investment insights clearly and professionally

    Qualifications

    Final-year undergraduate students or fresh graduates

  • Background in Economics, Engineering, Computer Science, Data Science, Mathematics, Political Science, or related fields
  • Strong analytical thinking

    Clear and concise writing ability

    Basic to intermediate Python knowledge

    Interest in global markets and technology companies

    Willingness to learn financial modeling and valuation

    Background in Finance is not required 

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