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Do you know how your online activity in Allegro, PayU, LinkedIn or even Facebook affects your credit scoring? Have you ever wondered how many information banks and financial institutions can deduct from it?

Case study held by Provident Polska will cover the influence of Big Data usage on credit and risk scoring. Using simple algorithms, financial analysts calculate the probability of a single customer default. The data used for the calculation can range from, payment patterns using online transfers and other publicly available sources such as connections in social media. This helps banks to make accurate decisions before any loan offered.

 

At the end of the meeting you will get some information about Coroporate Graduate Pogramme:

Having graduated from universities across Europe, the successful candidates have to pass a competitive and rigorous recruitment process in order to secure their places on the IPF Credit Risk Graduate Programme. Their first placement will be held at IPF Headquarter in Leeds, UK where they will spent 4 months undertaking multiple development tasks. These will include SQL training, conducting risk analysis, attending market performance meetings and familiarizing themselves with the finer details of our business. During the second phase of the scheme each graduate spends 20 months rotating around our markets - Slovakia, Poland, Romania, Czech, Mexico or Estonia. Here they will further improve their knowledge of our business, support the in-market credit teams and look to develop leadership qualifications with the aim of progressing into a managerial role.

 

What? Provident Polska Case Study

When? 17/03/2016 at 11AM - 1PM.

Where? Faculty of Management and Economics of Services of the University of Szczecin,
ul. Cukrowa 8, room 218

 

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