Equity Research Analyst Fellowship (Global)

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