Duration: 6 Months

Mode: Remote

Commitment: 30–40 hours per week

Cohort Size: 5 Fellows

Conversion: Top 2 Fellows receive Full-Time Investment Role Offers

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.

We will select 5 fellows.

During the program, fellows 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.

What You Will Work On

Investment Research

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

2. Data & Analytics

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

3. Market Intelligence

Monitor global equity markets and sector developments
Track structural trends across AI, blockchain, fintech, and technology
Produce concise research briefs and periodic market updates

4. Research Communication

Contribute to investor reports and research publications
Support development of research visuals and analytical exhibits
Assist in communicating investment insights clearly and professionally

Who Should Apply

We strongly encourage applicants from non-finance backgrounds.

Ideal candidates:

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

You do not need prior finance experience.

You must have intellectual curiosity and discipline.

Selection Process

Resume Submission
One-Page Investment Memo (Topic provided)
Final Interview

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