Portfolio Analytics

Course Overview

Portfolio Analytics focuses on the quantitative and analytical techniques used to evaluate, construct, and optimise investment portfolios. The course covers risk–return analysis, asset allocation, diversification strategies, performance measurement, factor modelling, and portfolio optimisation methods such as mean‑variance analysis. Learners explore how financial data, statistical models, and analytical tools are applied to monitor portfolio performance, manage risk exposure, and support investment decision‑making. The course blends finance theory with practical analytics to prepare learners for roles in investment management, wealth advisory, and financial analysis.

Target Audience

• Investment analysts and portfolio managers

• Finance and banking professionals

• Wealth management and advisory teams

• Data analysts working with financial datasets

• Students or early‑career professionals entering investment or financial analytics roles

Course Outcomes

• Understand key concepts in portfolio theory, diversification, and asset allocation

• Analyse risk and return characteristics of different asset classes

• Apply quantitative models to construct and optimise investment portfolios

• Use performance metrics such as Sharpe ratio, alpha, beta, and tracking error

• Evaluate portfolio performance using benchmark comparisons and attribution analysis

• Apply factor models to understand drivers of portfolio returns

• Use analytics tools to monitor portfolio risk, exposure, and rebalancing needs

• Translate analytical insights into investment recommendations and portfolio strategies