Welcome to the Experian Analytics Academy – your platform with insights that impact, and which will inspire you in your profession and drive an even more successful business within the credit industry by using data and analytics.
The Experian Analytics team consists of a group of passionate and knowledgeable subject matter experts who have created snippets of video content to inspire you to gain a quick understanding of terms and analytical approaches within the credit industry.
You will gather insights across a variety of topics such as Credit Bureau Scores, Synthetic Data, Transactional Data, IFRS9 / SICR frameworks, ESG Scores and much more. Each video is between 3 to 5 minutes, and our Experian Analytics team dive into the different topics during these episodes. Choose to watch one, a few or all of them.
- What is a Credit Bureau Score?
- How applying synthetic data can help comply with data regulations?
- How do you turn transactional data into actual insights?
- Increase the accuracy of your loss estimations by improving your IFRS9 and SICR calculation framework
- Increase revenue and limit credit losses with Experian Automatic Feature Generation
- What do you need to be aware of when working with ESG Scores?
- How can credit lenders optimize affordability calculations?
- Optimize your collection strategies through analytics based decision making
- Learn how to apply alternative data in your credit decisioning
- Learn how to apply machine learning in your credit scoring
- Capture how AI (Artificial Intelligence) and Machine Learning models can support your business
- Use Web Data Insights as alternative data for credit assessments
Meet our analytics experts
| Julie Berg, Analyst
As an Analyst part of the Nordic Analytics team, Julie spends her time developing and maintaining predictive models and credit origination strategies, producing market trend analyses and consulting clients on staying compliant with regulatory changes. Following an educational background in finance, Julie has spent the past five years working at Experian. Apart from Analytics problems, she has a fascination for true crime and outside of work hours enjoys travelling, skiing and watching good (and bad) movies.
|
  |
| Christopher Kadow, Data Modeler
Christopher Kadow handles the more technical aspects of data analysis and manipulation. Given his background in advanced statistics and mathematical modelling, he knows his way around the many applications of data for credit risk modelling and predictions. Before joining Experian, Christopher was a student at the Technical University of Denmark graduating with a Master of Science in Engineering with focus on applied mathematics. Besides working with data, he plays the guitar and is an avid basketball watcher (and player when his legs cooperate). |
|
| Buse Hanci, Analytics Consultant
Buse Hanci is an Analytics Consultant covering the Nordics at Experian an working from the Copenhagen office. She has been working for more than 11 years in regulatory analytics and financial risk management and worked in many predictive modeling and regulatory framework projects from scorecard developments to IRB and IFRS 9 assessments and more. Before joining Experian, Buse was working at Yapi Kredi Bank in Turkey for 3 years and 4 years at PwC Turkey in different expert and manager roles in the financial risk management field. By profession she is an Industrial Engineer with a Master Degree of Economics. She likes travelling, meeting with new people and new cultures and following Formula 1. She is a big fan of Charles Leclerc.
|
 |
|
Szabolcs Hideg, Head of Analytics Szabolcs Hideg is heading the Analytics department in the Nordics at Experian and has been working for more than 12 years in credit risk management and related predictive modeling initiatives from scorecard developments to regulatory parameters and more. Before joining Experian, Szabolcs was working at GE Money Bank in Hungary for 4 years and 7 years at Santander Consumer Bank in the Nordic region in different expert and leadership roles in the same field. By profession he is a Financial Mathematician, outside work he spends most of his time with the family, reads old comic books, watches UFC and never says ‘No‘ to a good burger. |
 |
|
Martin Haraldseth, Data Scientist Martin Haraldseth is a Data Scientist in the Nordics Analytics Department with a keen interest in applying data and optimization to solve business problems, while ensuring that business logic is maintained. At Experian he spends most of his time on credit risk model development and credit origination strategies. Prior to Experian, he worked with market surveillance at NVE after finalizing his Master of Science in Economics at NTNU. When Martin takes a break from data and analytics, he prefers to be active doing sports or relaxing at home with a good movie. |
 |
| Gerrit Bekker, Senior Data Scientist
Gerrit Bekker is a Senior Data Scientist based at Experian’s Den Haag offices and focuses on the development and deployment of advanced analytical solutions across Experian’s EMEA operations. Gerrit has been working for 6 years in this role at Experian. Prior to Experian, he worked in data analysis, machine learning and business intelligence within the banking, finance and insurance industries. He studied Econometrics and Actuarial Sciences and enjoys travelling, gardening and spending time with his family.
|
|
