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AI and Quantum Computing in
Credit Scoring

Consultancy in Generative AI and quantum computing can enhance the accuracy of credit scoring models. By using advanced algorithms and techniques, these technologies can analyze vast amounts of data, identify patterns, and generate more precise credit risk assessments. This leads to better credit decisions and reduced risk for financial institutions.

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Benefits of AI and QC in Credit Scoring

  • We can help you create a credit scoring algorithm using advanced techniques such as econometrics, machine learning, deep learning, Generative AI, and quantum machine learning. Our service includes providing scripts in Jupyter Notebook, documentation, and an advanced model validation report. If you lack sufficient data or defaults, we can assist in generating synthetic data.

  • By utilizing Generative AI and quantum computing, we can provide a more comprehensive risk assessment of credit applicants. This enables financial institutions to better identify potential defaulters and manage credit risk effectively.

  • By leveraging these advanced technologies, financial institutions can develop more sophisticated credit scoring models, leading to better risk assessment, improved customer service, and a competitive advantage in the market.

Compare Consultancy Packages

Lite

We have provided the script to create a credit scoring model using our own data with 8 variables.

SAS(2), Python and R

0

Immediately

6.000 EUR

Standard

We offer a credit scoring model and script tailored to your data, with up to 10 variables.

Python or R

5

5 Days

8.000 EUR

Pro

We offer a credit scoring model and script tailored to your data, with up to 50 variables.

Python 

15

10 Days

12.000 EUR

Premium

We offer a credit scoring model and script tailored to your data, with up to 200 variables.

Python

25

15-20 Days

20.000 EUR

1. The scripts are delivered as Jupyter Notebook files.

2. Only specific tasks such as binning, validation, and logistic regression model building are available in SAS.

Important: Firstly, we will perform an audit of the model. If the audit is positive, we will proceed with the model development. Otherwise, we will charge a fee of 5% of the contracted package value.

Your data for the Credit Scoring Model could include the ID and Default Status along with the explanatory variables x1 to xm. We accept panel data, and the identification of panel data does not take into account as an explanatory variable.

Important: The number of account operations exceeding a certain limit may result in additional charges.

Please remember the following message regarding the Generative AI Model data we need to discuss with you.

Clients

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