Development of Data-Driven Financial Products
Organisatsiooni nimi
AS SEB Pank
Kokkuvõte
SEB is a leading Nordic bank with over 165 years of experience. SEB has a department for Customer Data and Strategic Transformations. In this department we use data to drive product innovation and support other division with data-driven solutions. Our team consists of experts in the field with a strong focus on advanced data analyses. We use data science methods and machine learning to create analytical insights and predictive models. Join our team to help us create the next generation of data-driven financial products.
Main tasks during the capstone project:
- Analysis of the corporate segment
- Customer product usage efficiency and data-driven insights to improve it
- Data preparation
- Application of advanced analytics and machine learning to identify potential business opportunities
- Creation of models and insights for a use case
- Interpretation and communication of results to business units
- Development of data-driven products
Main tasks during the capstone project:
- Analysis of the corporate segment
- Customer product usage efficiency and data-driven insights to improve it
- Data preparation
- Application of advanced analytics and machine learning to identify potential business opportunities
- Creation of models and insights for a use case
- Interpretation and communication of results to business units
- Development of data-driven products
Lõputöö kaitsmise aasta
2024-2025
Juhendaja
Üllar Rannik, PhD
Suhtlemiskeel(ed)
eesti keel, inglise keel
Nõuded kandideerijale
To apply, send your CV and an extract of your master's study results to helen.joesaar@ut.ee
Application deadline: 11 October 2024.
Expectations for the applicant:
- Python skills
- Experience with data warehousing, SQL and data processing
- Basic experience with Git and Linux
- Experience with advanced analytics and machine learning projects
- Data science and machine learning enthusiast
Application deadline: 11 October 2024.
Expectations for the applicant:
- Python skills
- Experience with data warehousing, SQL and data processing
- Basic experience with Git and Linux
- Experience with advanced analytics and machine learning projects
- Data science and machine learning enthusiast
Tase
Magister
Märksõnad
Kandideerimise kontakt
Nimi
Helen Jõesaar
Tel
E-mail