Junior Data analyst to credit risk modelling

Are you passionate about statistical modelling and turning data into actionable insights?
In Swedbank you have the opportunity to:
- Participate in projects to develop new or update existing credit risk models.
- Compile and analyse data to support business and management in decisions related to credit risk.
- Develop new and improve existing reports to continuously evaluate and visualize the performance of our models and credit risks in general.
- Kick-start a career in credit risk modelling and learn about relevant frameworks and surrounding credit processes.


What is needed in this role:
- A master’s degree in relevant quantitative field
- Knowledge of statistical and mathematical modelling techniques
- Basic coding proficiency - previous experience with SQL or SAS is meriting but not required
- Ability to understand and communicate complex problems in a cohesive manner
- Proficiency in English and Swedish, both written and spoken


Join our team and ...
Help us further our understanding of credit risk with the help analytical tools and data, improving our core business. Together with the Credit Risk Modelling unit you will be a part of the team that develops and maintain models that are an integral part in determining the bank’s capital requirements and are used to support credit decisions in offices throughout the country”. Felix Bogren, your future leader



We look forward to receiving your application by 15.08.2021.
Location: Sundbyberg, Stockholm

Contacts

Recruiting manager: Felix Bogren +46 72 521 93 52

SACO: Henrik Joelsson

Finansförbundet: Åke Skoglund, +46 8 5859 0288

We want to inform you that the selection process may begin after the summer holidays.

We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services.

Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability - everybody is welcome