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Data Engineer to Non-Retail Credit Risk | SEB, Stockholm

Categories
Audit, Risk, Compliance & Legal, Group Control functions
Apply before
11 September 2025
Location
Stockholm
Hybrid
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We are looking for a Data Engineer to join the Non-Retail Credit Risk modelling team in SEB. The job offers an exciting mix of analytical challenges and professional development opportunities: working with big data, developing credit risk models, understanding and abiding to regulatory constraints and explaining complex models to stakeholders on all levels across the Bank. You will be part of a dedicated, expert team with broad exposure across the bank and excellent prospects for personal and career growth.

Since SEB was founded in 1856, our focus on customers and long-term relationships has been at the heart of our success. We aim to drive positive change by providing capital to help everyone reach their goals and accelerate progress towards a sustainable tomorrow. As a leading financial services group in northern Europe, we'll help you grow and empower you to take on more responsibility to create a real difference. Welcome to SEB.

About the role:
The Non-Retail Credit Risk modelling team is in the CRO organization in SEB. Credit Risk covers IRB, IFRS9 and stress testing models across all jurisdictions and legal entities of SEB Group. As a data engineer in the Non-Retail Credit Risk modelling team, you will be covering data, monitoring, reporting and modelling issues for the non-retail segment.
The position covers the full stack of credit risk quantitative analysis including:
  • Structured data management and analysis, working with large datasets
  • Supporting the team as well as business, credit analysis and other teams, with data driven insights and recommendations to stakeholders
  • Designing, implementing, and maintaining modern, scalable data pipelines to support credit risk modelling and reporting
  • Building and maintaining ETL frameworks that ensure transparency, reproducibility, and regulatory compliance
  • Upholding and improving data quality control framework, representing credit risk quantification in group functions involved in data quality
  • Identifying data deficiencies and contributing to designing solutions to address such deficiencies (from input to IT development requirements to design of regular controls for ensuring adequate data quality)
  • Interaction with control functions and IT development, specification of IT development requirements
  • Documentation and regulatory interaction
  • Responsibilities and tasks within the role of a data steward
  • The role is based in Stockholm.
    To succeed in this role, we believe that you:
  • Have a true interest in building modern, scalable data infrastructure and driving automation through CI/CD
  • Like to get things done and can translate challenges into concrete options on what to do next
  • Show quantitative analytical capability, proactivity and problem-solving skills. You are comfortable working with large datasets and enjoy finding solutions to loosely defined problems
  • Are a team player and can work closely and collaborate with external stakeholders from different parts of the bank
  • Can prioritize and are committed to deliver high quality on time – also under time pressure
  • Are honest and reliable, willing to speak up even when it is difficult
  • Your experience and background:
  • A Master’s degree within a quantitative field, including but not limited to statistics, mathematics, finance, economics or engineering
  • Experience in working with data and business intelligence, knowledge of statistical models
  • Version control and CI/CD (e.g. Git, GitLab/GitHub pipelines)
  • ETL pipeline development (ELT is an advantage)
  • Hands-on experience with extraction and visualization of insights from large datasets and long timeseries
  • Knowledge of SAS, SQL and Python
  • Knowledge in credit risk modelling (e.g., PD, LGD and EAD) is an advantage
  • Knowledge in credit risk related legislation and supervisory guidelines (e.g., CRR and CRD) is an advantage
  • Cloud platforms (e.g. Azure, AWS, GCP) is an advantage
  • Strong communication skills in English, both spoken and written; knowledge of Swedish is an advantage
  • Candidates for both junior and senior roles are encouraged to apply.
    What we offer:
  • Friendly and welcoming culture
  • Challenging and interesting projects at the forefront of credit risk modelling
  • A supportive environment for learning, development and career progression
  • Attractive compensation and benefits.
  • Do you want to be part of SEB?
    It is our fundamental belief that inclusion and diversity is crucial for our future success. We strive to have an inclusive, value-driven culture where employees feel valued, respected, and involved irrespective of who they are, what they believe or where they come from.

    Since we select candidates continuously, feel free to send in your application today via the link in this ad, but no later than 11th of September. If you have questions about the position, please contact team. If you have questions about the position, please contact Bujar Huskaj, Head of Non-Retail Credit Risk modelling team, by mail bujar.huskaj@seb.se, but we will not process applications via email.
     
    Please be aware that our final candidates undergo background checks, a process that includes for example identity control, verification of qualifications, credit checks, company engagements and criminal records checks. In some cases, we also apply random drug checks.  
    SEB Sweden has a redeployment responsibility, why this position might be covered by internal redeployment.

    Learn more about working at SEB on our Career website or through our Career podcasts.
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