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
