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Job Description
About Cerebrium Capital:
Cerebrium Capital is an investment advisory firm building multi-asset portfolios across international equities, fixed income, and private markets. We blend fundamental rigour with data science, Python, and AI tooling.
About the role
We're looking for a Junior Analyst Intern to support the portfolio manager across the full investment process — and to help build the data and AI infrastructure powering our research. You'll be in the room (virtually) for real investment decisions.
Responsibilities
Research across asset classes
- Conduct fundamental research on international equities (US, Europe, Asia) — financials, business models, valuation
- Analyse fixed income opportunities — credit metrics, capital structure, yield curves, spreads
- Diligence private market investments — pitch decks, data rooms, cap tables, market maps
- Build financial models (DCF, comparables) and prepare investment memos, credit notes, earnings summaries
Portfolio monitoring & macro
- Maintain portfolio dashboards — exposure, performance, attribution, risk
- Track macro releases and prepare daily/weekly market briefs
- Flag risks, concentration issues, and rebalancing opportunities
Data science, Python & AI tooling
- Build Python scripts to pull, clean, and analyse market data (Yahoo Finance, FRED, EDGAR, broker APIs)
- Use AI tools (ChatGPT, Claude, Perplexity, LLM pipelines) for earnings summarisation, document parsing, comp searches
- Help build a proprietary research database and dashboards
- Prototype quantitative screens, backtests, and signal ideas; automate repetitive research tasks
Skills Required
- Strong interest in global markets and multi-asset investing
- Solid grasp of financial statements and valuation concepts
- Working knowledge of Excel; financial modelling preferred but not required
- Clean, structured writing for memos and presentations
- Self-starter mindset and strong written/spoken English
Who can apply
- We're open on credentials — undergraduates, postgraduates, MBAs, CA/CFA candidates, engineers, and self-taught finance/coding enthusiasts. What matters is the quality of your thinking, your curiosity about markets, and your willingness to build.
- Strong plus — data science, Python & AI
- Python — pandas, NumPy, yfinance, matplotlib/plotly
- AI / LLM tooling — prompt engineering, LangChain, OpenAI/Anthropic APIs, RAG pipelines
- Data science — statistics, regression, time series, basic ML
- SQL, Power BI, Tableau, or Streamlit for dashboarding
- GitHub portfolio showing real projects
Other Nice to Haves
- Cfa Level 1 Cleared or Registered
- Bloomberg, Fact Set, or Capital Iq Familiarity
- Personal Investing Track Record or Research Published on Substack/twitter/seeking Alpha
- Prior Internship in Equity Research, Ib, Asset Management, or Quant/fintech
Perks
- ₹20,000–30,000/month Stipend, Paid on Time
- Direct Mentorship from A Pm Running an International Multi-Asset Book
- Real Work — Your Research and Tools Feed Live Investment Process
- Letter of Recommendation, Certificate, and Portfolio of Published Work
- Performance-Based Path to A Full-Time Role
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