Bank & Credit Union Insights

XGBoost is a popular supervised machine learning algorithm and may be the new wave of modeling credit risk. Here are the basics of the mechanics behind the algorithm.

Machine learning has emerged as a popular and powerful credit risk modeling tool. Here's what banking executives need to know.

DCG’s primary objective for conference attendees is to walk away with “one key idea” for their institution. Sessions underscored a shared commitment to transforming unpredictability into opportunity through data-driven strategies. Here are the highlights from this year’s conference.

Institutions struggle to successfully monitor their CECL reserve as well as fully communicate their best story to external and internal stakeholders.

For better, more confident decision-making, consider the three key steps of a model risk management “health check.”

DCG's Senior Analysts summarize key themes from the 40th Annual Balance Sheet & Model Risk Management conference.

For Current Expected Credit Losses (CECL) models, building a sound monitoring program and creating periodic reporting can be challenging.

A quantitative perspective on the next economic downturn.

Many financial institutions over the past 24-36 months have lost confidence in their interest rate risk models.

When planning the validation of any key risk models, always consider three effective challenge action items.

We are fresh from a stellar three days together with nearly 300 colleagues from banks, credit unions, regulators, and industry partners.

Everyone has that one friend, relative, or neighbor who always seems to ask the one question you don’t have an answer for.

To keep pace with competition and escalating regulatory expectations, many institutions have shifted their risk management philosophies.

DCG has performed model validations for banks and credit unions of all sizes and balance sheet complexities for well over a decade.

Help ensure a smooth journey and long-term benefits by add these five CECL and MRM resolutions to your list for 2023!

This rate environment is different and every decision matters. Are your models up to the task?

Institutions can face significant challenges when it comes to model risk management. And getting it wrong may bring meaningful consequences.

It's time for your next model validation, but who should perform it - and how? Regulators make it clear that model validation is...

Good model stewardship demands policies, sound data, education, documentation, and follow-through.