Quantitative Research Intern (AI & Portfolio Optimization)

Location: Remote or Mumbai (Hybrid)
Duration: 6 Months (Extendable)

About the Role

We are looking for a highly motivated Quantitative Research Intern to help build the next generation of investment research and analytics at Wealthh. You will work across mutual fund analytics, equity research, portfolio optimization, quantitative investing, and agentic AI systems that automate financial research and investment workflows.

This role is ideal for students passionate about finance, mathematics, data science, artificial intelligence, and software engineering.

Key Responsibilities
- Develop quantitative models for mutual fund and equity research.
- Build portfolio optimization models using modern portfolio construction techniques.
- Research and implement momentum, factor-based, and systematic investment strategies.
- Design analytics for risk, return, diversification, and portfolio performance.
- Build equity parsers to extract and structure data from annual reports, quarterly results, exchange filings, investor presentations,



and other financial documents.
- Develop financial data pipelines for NAV, holdings, market data, and corporate fundamentals.
- Backtest investment strategies and evaluate their historical performance.
- Build dashboards and analytical tools for portfolio insights and investment decision-making.
- Contribute to the development of agentic AI systems that automate investment research, portfolio monitoring, and client recommendations.
- Work closely with engineering, product, and business teams to translate research into production-ready features.

Required Skills
- Strong foundation in mathematics, statistics, probability, and linear algebra.
- Positive understanding of financial markets and investment concepts.
- Proficiency in Python.
- Experience with Pandas, NumPy, SciPy, and Jupyter Notebooks.
- Familiarity with SQL and data analysis.
- Strong analytical and problem-solving skills.
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