Strengthening Credit Risk Modeling and Governance for Insurance Actuarial Teams with CreditCompanion™

Industry Context

Actuarial and risk modelling professionals from Insurance are responsible for credit-risk assessment and regulatory alignment under Solvency II and IFRS 17, reinsurance evaluation, PD/LGD/EAD modelling and migration analysis, and ALM-integrated credit stress testing. They also manage concentration and wrong-way risks, perform model validation, monitor climate-driven credit migration, and ensure ratings-mapping governance.

Through our discussions with actuarial and risk modelling teams, we identified several key workflow challenges:

• Speed and data timeliness: Credit insights must be delivered quickly for pricing and capital decisions, yet collecting current ratings, financial statements, and sector data can be time-consuming.
• Complex portfolios: Handling invested assets, structured credit, and reinsurer exposures makes it difficult to monitor interrelated credit dynamics.
• Model consistency: Incorporating PD, LGD, and EAD assumptions into capital, reserving, and ALM frameworks while keeping models aligned can be challenging.
• Concentration and wrong‑way risk: Exposure clusters - such as reinsurers exposed to the same catastrophe zones - can magnify losses under stress.
• Data and Governance Gaps: Delayed ratings mapping, limited instrument transparency, and weak migration monitoring can reduce oversight effectiveness.

Introducing CreditCompanion™ on RatingsDirect^®:

As the official source for S&P Global Ratings credit ratings and research, RatingsDirect^® from S&P Global Market Intelligence delivers credit risk insights on a powerful single platform. With AI-powered search, comprehensive market data, credit risk indicators, and dynamic visualization tools, users can efficiently analyze credit performance and trends across industries, companies, and securities worldwide.

Embedded within RatingsDirect^®, CreditCompanion™ is a GenAI assistant that helps users uncover, analyze, and summarize credit research, automating information retrieval, trend analysis, and peer comparisons to enhance productivity.

Key Features:

• Efficient Access to Ratings Research: Intuitive chat interface for rapid access to S&P Global Ratings research and data.
• Comprehensive Credit Summaries: Generates company summaries, peer comparisons, and ratings lists.
• Rapid Information Compilation: Quickly synthesizes insights on entities, peers, sectors, countries, and macro-credit themes.
• Insightful Data Extraction: Extracts insights from over 1 million credit ratings and three years of credit research from S&P Global Ratings.
• Reliable and Transparent Information: Links directly to underlying S&P Global Ratings source documents for validation and confidence.

How CreditCompanion™ Addresses These Challenges:

• Scenario Framing Support: Summarizes relevant S&P Global Ratings sector and macro insights to help teams frame PD/LGD/EAD assumptions and migration scenarios.
• Concentration and Correlation Visibility: Highlights sector and geographic stress points to feed into risk concentration, wrong-way risk, and tail-risk scenarios.
• Governance-Ready Documentation: Provides consistent summaries of ratings drivers, rating changes, and broader credit trends to support model governance and committee discussions.
• Data Consistency and Traceability: helping reduce manual reconciliation and improve documentation consistency.

Sample Use Cases for Actuarial and Risk Modelers:

1. You can surface key sector-level risks in a country or industry to support scenario modeling and stress testing.

2. You can identify sectors with high correlation risk potential globally to inform wrong-way risk analysis.

3. You can identify companies in an industry with a negative outlook to inform concentration and risk cluster analysis.

Other Prompts:

1. Which industries and countries present the greatest “fallen-angel” risk over the next 12–24 months?
2. Based on recent research, what are the top risks affecting the insurance industry?
3. Summarise the impact of new regulations on [Industry].
4. Summarise research on risk transmissions across macroeconomic scenarios.

Conclusion:

For actuarial and risk modeling professionals in insurance, CreditCompanion™ helps integrate credit insights into models and decision frameworks. By delivering concise, research-backed summaries and centralizing S&P Global Ratings research, it supports concentration analysis, clearer documentation for model review, and more informed scenario analysis and risk management.

Disclosures for this article from S&P Global Market Intelligence