
Quantitative Python Developer to Credit Risk Team | SEB, Stockholm
- Stockholm
- Permanent
- Heltid
- Develop and maintain Python-based tools and libraries for credit risk modelling and analytics,
- Collaborate with quantitative risk analysts and model validators to ensure model accuracy and regulatory compliance,
- Design and support frameworks for capital calculation, e.g., Basel IV.
- An academic degree in computer science, engineering or a related technical field,
- Knowledge in mathematics, statistics or econometrics,
- Strong Python programming skills, with experience in scientific computing libraries such as NumPy, pandas, SciPy, and scikit-learn.
- Experience with statistical modeling, time series analysis, or machine learning,
- Experience with SQL and working with large datasets,
- Ability to translate mathematical formulas and algorithms into functional code,
- Proficiency with Git and GitHub for version control and collaborative development,
- Strong communication skills and ability to work in cross-functional teams.
- Experience developing and maintaining python libraries,
- Knowledge of regulatory requirements (e.g., Basel III/IV, IFRS 9, CCAR),
- Previous open source contributions or active participation in developer communities,
- Familiarity with GitHub Actions or other CI/CD tools.
- Challenging and meaningful work in an ambitious, highly professional, and truly awesome cross border team.
- Access to SEB staff banking with exclusive benefits, health insurance and other employee benefits.
- Extensive training, many learning opportunities.