Navigating Credit Risk Management with Ratings and Scoring

Original price was: € 199,00.Current price is: € 0,00.

WHAT IS IT ABOUT?

Learn the high-impact strategies to understand banking, credit risk management, rating and scoring insights across monitoring and analysis.

SKU: 8e8f1306-8f24-4f18-91d7-1c788a3b07ef Category: Tags: , , , , ,
Theme:
Available in: English, Dutch, French, German, Spanish
  • The executive team that needs to build a benchmark of best practices for analyzing ratings and scoring.
  • The banking department that needs to provide data on risk management models.
  • The project managers who are interested in exploring solutions that maximize financial performance.
  • The stakeholders who need to evaluate if credit risk measures are effective and within compliance regulations.
  • The risk managers who are looking for ways to monitor and analyze credit risks.
Banking
Understanding the fundamentals

Credit Risk Management
Assessing risks and threats

Ratings Scoring
Establishing benchmarks

Monitoring Analysis
Improving credit decisions

As you can see, you're not asking your respondents for opinions, satisfaction or agreement. Our scientific research has shown that these are very bad fuel for algorithms. Instead, we ask for verifiable facts or -behaviour. For further reading, you can download our AMAIZE magazine dedicated to this topic or discover the scientific papers in the Resources section.

After you have downloaded this questionnaire, you can - in your Toolbox - edit, add/delete, and translate questions & answers to your liking. Clicking the "Help me PRAIORITIZE" buttons in the Toolbox activates our A.I. to help you finish your masterpiece..

Q. What have you done to identify interest rate risks?
  1. No efforts to quantify interest rate risk.
  2. We apply historical analysis and data mining models to quantify interest rate risk.
  3. We use advanced AI-driven stress testing models to gain insights on interest rate risk.

Q. What methods are used for Credit Analysis?
  1. Manual record-keeping of customer information
  2. Adoption of credit scoring solutions to evaluate customer profiles
  3. Automated analysis of customer's financial preferences and behaviors
The artificial intelligence creating the questionnaires for the store has been inspired by over 11.000 whitepapers from more than 100 noted consultancy firms. Algorithms selected the 20% best papers and grouped papers from different consultancy firms into specific questionnaires. Why settle for less? Here is a summary how we did it.

If you feel you need outside support after conducting your assessment, we recommend the firms that have written the below mentioned whitepapers. Not having a paper selected does NOT mean that a firm does not give good advice.
NAMETITLE PAPER
gartnerhype-cycle-example.pdf
fticonsulting2018-say-on-pay-recap-reit-industry.pdf
healthadvanceshacowenhealthcarearticle.pdf
pwcpwc-752994-2020 -cloud-infrastructure-tl-sales-sheet.pdf
fminetFMI_Q3_Outlook_2020.pdf
capgemini70820_FBTS_70820_enUS_pptx.pdf
pwcpwc-and-broadridge-2020-proxy-season-review.pdf
pwcpwc-insurance-innovation.pdf
You will download so much more than a set of questions and answers. This questionnaire contains everything for the full consultancy experience:
  • Respondent profiles for a helicopter view of your audience.
  • A maturity model with which algorithms calculate a six times smarter improvement target (compared to when you leave that to a human).
  • Improvement suggestions (per question) how to move from one answer to another
  • Suggested follow-on projects. After all, moving your organization from A to B might require more than just doing an assessment.
This English questionnaire is also available in Dutch, French, German, and Spanish.

Reviews

    There are no reviews yet.

    Be the first to review “Navigating Credit Risk Management with Ratings and Scoring”

    Your email address will not be published. Required fields are marked *

    ALSO CHECKED THESE QUESTIONNAIRES?

    READY FOR SOME SERIOUS BUSINESS?