Insurance Pricing Analytics Training Course

Course Overview

Learning Objectives

• By the end of the course, participants will be able to:
• Analyze the strategic role of pricing analytics in insurance profitability and risk management.
• Evaluate insurance data required for effective pricing analysis and decision-making.
• Apply data preparation and segmentation techniques to insurance pricing datasets.
• Analyze claims frequency, severity, loss costs, loss ratios, and exposure patterns.
• Identify and evaluate key rating factors and risk characteristics.
• Develop analytical approaches for assessing insurance rate adequacy.
• Apply statistical and predictive techniques to support insurance pricing decisions.
• Evaluate pricing performance across products, customers, territories, channels, and risk segments.
• Analyze the relationship between pricing, underwriting performance, customer behavior, and portfolio profitability.
• Apply scenario and sensitivity analysis to evaluate pricing assumptions and potential outcomes.
• Establish pricing performance indicators and monitoring frameworks.
• Strengthen pricing governance, model validation, data quality, and analytical controls.
• Develop practical pricing improvement initiatives that balance competitiveness, profitability, and risk.

Who Should Attend

Learning Outcomes

• Upon completion of the course, participants will be able to:
• Explain the principles and business value of insurance pricing analytics.
• Assess the quality, relevance, and completeness of data used for pricing analysis.
• Prepare and structure insurance datasets for analytical applications.
• Segment insurance portfolios according to risk, exposure, customer, product, and performance characteristics.
• Analyze claims frequency, severity, loss costs, and loss ratios.
• Identify significant pricing variables and evaluate their impact on risk.
• Assess rate adequacy and identify potential pricing deficiencies.
• Apply statistical and predictive analytical methods to insurance pricing.
• Compare pricing performance across customer segments, products, territories, and distribution channels.
• Evaluate the impact of pricing changes on profitability, retention, and portfolio mix.
• Use scenario and sensitivity analysis to assess pricing decisions under changing assumptions.
• Develop pricing dashboards and key performance indicators.
• Identify data, model, and assumption risks affecting pricing decisions.
• Establish effective pricing monitoring and review processes.
• Develop an actionable pricing analytics improvement plan aligned with business strategy and risk appetite.

Course Outline