Data analytics enhances actuarial modeling and forecasting.

Skills in statistics and programming are critical.

Actuaries use analytics to interpret large datasets.

Improves accuracy in risk assessment and pricing models.

Analytics supports customer behavior and claims prediction.

Courses often include machine learning and data visualization.

Employers seek actuaries proficient in data tools and techniques.

This combination opens roles beyond traditional actuarial work.

Helps meet demands of digital transformation in finance.

Continuous learning in both fields is essential.