Data Engineer within Credit Risk area
Are you eager to contribute with your engineering skills in the Credit Risk area?
In Swedbank you have the opportunity to:
- Be part of a cross functional team that implements, maintains and operates credit risk models contributing to one of the banks most prioritized initiatives.
- Collaborate with developers, analysts, risk officers, architects and product owners for creating the best solutions.
- Identify, quality assure, and source data needed for the models.
- Analyse requirements and participate in investigations of our solutions.
- Control technical debt.
- Ensure that documentation of our solutions and our models is up to date.
What is needed in this role:
- Bachelor’s or Master’s degree in a related field.
- A few years’ experience as a Data Engineer, SAS developer or similar.
- Knowledgeable in SAS 9.4 stack (e.g. DI Studio, Enterprise Guide, Management Console).
- Being comfortable in writing SQL and having knowledge around SQL databases and data modelling concepts.
- Having the desire and motivation to learn how to develop credit risk solutions, even without prior experience, is an advantage.
- Having experience with metadata management and data modelling tools is an advantage.
- Interest in, and understanding of, banking and finance is an advantage.
- Creative and driven problem solver.
- Analytical mindset.
- Team player who likes to share your knowledge as well as learning from colleagues.
- Proficient in Swedish and English.
- Adaptive to new ways of working as well as changed technologies/tools.
- Experienced in Mainframe, Informatica PowerCenter or Oracle Data Integrator is an advantage.
With us, you can experience:
- Personal and professional growth through self-leadership and continuous development.
- Meaningful work that positively impacts our workplace, our customers, and society.
- An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities.
- A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role.
- Benefits such as our share based reward program Eken, company pension plan, employee offer for banking products, health insurance.
"Join our team and...
become part of a knowledgeable and helpful team, working together to implement reliable credit risk models which are of great importance to Swedbank. Group Risk is a group function with the mission to measure, report and analyse all Swedbank's risks, of which the largest risk type is Credit Risk. Within the Credit Risk Models value stream, we are implementing the credit risk models needed to assess the bank's portfolio risks (IRB Models) and expected credit losses (IFRS9). The team consists of Product Owners, Scrum Masters, Business Analysts and Data Engineers." Frida Nilsson, your future manager
We look forward to receiving your application by 19.05.2025. We work with continuous selection, which means that the position may be filled before the application deadline.
Location: Sundbyberg/Umeå
Recruiting manager: Frida Nilsson, +46 73 033 79 46
We may begin the selection during the application period, so we welcome your application as soon as possible.
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.
#LI-Hybrid
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- Job area
- IT and data
- Role
- Software Engineering
- Locations
- Stockholm Region, Umeå
- Remote status
- Hybrid
About Swedbank
We serve local communities, where we are proud to play an important role as being a key part of the financial system.
We are dedicated to developing close relationships with about 7.3 million private and 553 000 corporate customers.
Our passion is to help people to save for a better future. We work every day to support people, businesses and society to grow by promoting a healthy and sustainable economy.
Data Engineer within Credit Risk area
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