Equity Research Analyst Fellowship

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