Master Thesis on Predicting Attrition in Financial Data with Machine Learning Algorithms

Degree Project on Predicting Attrition Rate

Avida Finans offers financial solutions for consumers and business in Sweden, Norway and Finland. Avida is growing rapidly and we are currently more than 100 employees in Stockholm, Oslo, Helsinki. We are operating within the financial sector, and have a strong technical drive. Our focus is to deliver valuable, digital financial services to consumers and enterprises.

Description

The scope of this degree project is to investigate and compare different Machine Learning techniques for predicting the attrition rate in a given population of credit holders. The goal is to make a theoretical investigation and to deliver a working prototype built on that theory. Attrition rate, meaning the likelihood of customer ending the relationship with Avida.

We are looking for a student with a strong background in data science, and a solid interest in Machine Learning. The candidate must be motivated by challenge, self driven and a fast learner. We think that you have hands on programming experience in any of the programming languages: R, Matlab, SAS, Python, SQL, C#, Java or any equivalent, and also have a good understanding of statistical methods. 

The thesis student will be provided with data and computational resources needed. We will offer guidance from different teams and stakeholders at Avida, office space and equipment at our office in Stockholm. We also offer a monetary compensation (20,000 SEK) on completion of the project.

Please send your application or questions to Johan Adamsson, johan.adamsson@avida.se, +46 72 531 33 43.

Last Apply Date

8 September, 2017

Project Work Period

6 months

Credits

30 hp

 

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