Indxx: Deploying Portfolio Optimization Models

Utsav worked as a Quant and Portfolio Analyst at Indxx over a short engagement. The role focused on the mathematics and deployment of portfolio optimization models.

He worked on two primary model types: CVaR (Conditional Value at Risk) and hierarchical risk parity. CVaR optimization targets the tail risk of a portfolio, minimizing expected losses in adverse scenarios. Hierarchical risk parity uses a clustering approach to allocate risk across assets without relying on a covariance matrix inversion, making it more robust in practice.

The engagement gave Utsav hands-on experience with the mathematical foundations of portfolio construction and the practical challenges of deploying optimization models in a quantitative finance context.