
Quantitative Risk Analyst to Credit Risk Team | SEB, Stockholm
- Stockholm
- Permanent
- Heltid
- Development and review of credit risk models aligned with banking regulations and business needs.
- Perform modelling using ready made-tools, focus on modelling rather than coding.
- Collaborating with business areas to provide insights in to data and explain model outputs.
- Monitoring and back-testing credit risk models to ensure accuracy and regulatory compliance.
- Contributing to various projects related with data quality, regulatory and etc. within credit risk.
- Collaborate with Data Engineers and Python Developers to ensure the data infrastructure and modeling tools effectively support the development of predictive credit risk models.
- Strong background in mathematics, statistics, econometrics, finance, or related quantitative fields.
- Experienced with programming languages such as Python, SAS.
- Ability to work with large datasets and use statistical software and data visualization tools.
- Strong analytical, problem-solving, and communication skills.
- Experience in model development and/or review within credit risk contexts.
- Familiarity with credit risk frameworks, including PD/LGD/CCF modelling and IRB approaches.
- Educational background in statistics, mathematics or econometrics.
- 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.
Uptrail