Credit risk practice

In an ever-evolving financial landscape, understanding and managing credit risk is paramount for financial institutions. At Reacfin, we have honed our expertise in the Credit Risk practice, offering our clients a blend of well-established, widely-recognized methodologies, and cutting-edge innovations that position them at the forefront of technological advancement.

Our comprehensive services encompass critical areas such as data management, model development leveraging state-of-the-art algorithms, and meticulous model validation. Our ultimate objective is to assist financial institutions through the intricate landscape of credit risk, enabling them to make well-informed decisions that sharpen their competitive edge. With Reacfin as your trusted partner, you'll navigate the complexities of credit risk management with confidence and foresight.

Competences

Reacfin helps financial institution throughout the credit risk management:

Data Management:

Sound data management is the foundation of effective credit risk management. We assist our clients in optimizing their data infrastructure, conducting data gap analyses, and developing data sourcing strategies.
Through advanced data modelling relying on explainable AI techniques, we manage missing data and outliers and we improve the features selection process, helping financial institutions to harness the power of their data to make informed credit risk decisions.

Model development:

We recognize the importance of transparency and interpretability in credit risk modeling, for probability of default and/or for loss-given default modelling. Leveraging state-of-the-art eXplainable AI techniques, we ensure that our models are not just accurate but also comprehensible. This approach allows our clients to gain deeper insights into the factors influencing their credit risk profiles, facilitating better risk management and decision-making processes. These models are designed to embed expert judgment inside the AI journey.
We also make sure that models developed matched the highest standards and the strictest regulatory requirements.

Model validation:

Validating credit risk models is critical to their reliability and effectiveness. Our team of experts specializes in rigorous model validation processes, ensuring that the models used by our clients are robust, accurate, and compliant with regulatory requirements. We provide comprehensive model validation services to enhance the trustworthiness of credit risk assessments.

Regulatory requirements:

We maintain a vigilant and proactive approach towards credit risk management, staying abreast of the ever-evolving regulatory landscape. Our commitment extends to continuously monitoring and aligning our development and validation processes with the latest regulatory requirements pertaining to credit risk assessment and capital adequacy. Additionally, we ensure strict compliance with all applicable regulations, including but not limited to the AI Act, DORA, GDPR, and more. This proactive stance enables us to provide our clients with a robust and legally compliant credit risk assessment framework, reinforcing their confidence in our services.

Recent Assignments

Reacfin Credit Risk practice has recently been involved in several client engagement for credit risk modelling and for model validation missions.
Reacfin also shares its expertise through papers, conferences and training sessions.

Cost of Explainability in AI: an Example with Credit Scoring Models