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81. Revised ECB Guide to internal models – continuous alignment within a changing regulatory environment

ECB's Revised Guide to Internal Models: Enhancing Risk-Weighted Asset Determination and Capital Calculation. Explore the incorporation of climate-related and environmental risks, support for…

82. EBA publishes binding standards on Pillar 3 disclosures on ESG risks

On January 24th 2022, the EBA published its final draft implementing technical standards on Pillar 3 disclosures for Environmental, Social and Governance (ESG) risks. This article aims to summarise,…

83. The EU Securitisation Framework: A Bank and Insurer Perspective

Effective January 1st, 2019, the EU securitisation market has undergone a substantial overhaul in terms of the overall regulatory framework that governs the securitisation activities of the different…

84. IFRS 9 Expected Loss Model Validation

This expert input focuses on the validation of Expected Credit loss model validation; more specifically, it explains why it is a good idea now, after the scramble to have IFRS 9 compliant models in…

85. Machine Learning in Risk Management

This Expert input works as an overview of the basis of most available machine learning techniques and serves as a great stepping stone to get into the intricate world of ML. Whilst mostly written…

86. Behavioral Scorecard with Machine Learning Components

This article discusses the benefits of applying advanced analytics in the development of behavioural scoring models. It investigates how Machine Learning techniques can be used to model the…

87. Machine learning for credit risk IRB models

This article examines the challenges and potential opportunities presented by machine learning when used to compute regulatory capital for credit risk using internal ratings-based (IRB) models. It…

88. Non-regulatory credit models – Retention and collection models

In this article we have presented the development of non-regulatory models and reasons why this work is important for risk related problems in financial industry. Those scorecards, even if they are…

89. Credit Risk Analysis with Machine Learning

Credit risk analysis plays a crucial role in assessing the creditworthiness of borrowers. This article explores the application of various statistical techniques and machine learning algorithms for…

90. Utilizing Machine Learning for Feature Engineering in Credit Scoring Models

Discover how machine learning is transforming credit scoring models. Explore cutting-edge techniques for feature engineering, including advanced methods for handling missing data, variable…

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Finalyse Insurance

Finalyse offers specialized consulting for insurance and pension sectors, focusing on risk management, actuarial modeling, and regulatory compliance. Their services include Solvency II support, IFRS 17 implementation, and climate risk assessments, ensuring robust frameworks and regulatory alignment for institutions.

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