Quantitative Analyst developing credit risk models in the Non-Retail Credit Risk Modelling team at SEB. Engaging in data analysis and collaborating across bank stakeholders in a supportive environment.
Responsibilities
Develop, enhance and maintain credit risk models
Conduct data collection, analysis, and model parameterization
Document model assumptions, accuracy, and data requirements
Participate in regulatory and internal model development projects
Develop strong relationships with stakeholders and present analysis and results to them
Support models' implementation in production and contribute to documentation and governance processes
Requirements
A Master’s degree within a quantitative field, including but not limited to Statistics, Mathematics, Finance, Economics and/or Engineering
Strong analytical and problem-solving skills
Hands-on experience working with data, analysis and modelling
Proficiency in Programming – especially Python, SAS and SQL is an advantage
Knowledge in credit risk modelling (e.g., PD, LGD and EAD) is an advantage
Understanding of credit risk related legislation and supervisory guidelines (e.g., CRR and CRD) is an advantage
Strong communication skills in English, both spoken and written; knowledge of Swedish is an advantage
Benefits
Professional development opportunities
Supportive and intellectually stimulating environment
Background checks including identity control and verification of qualifications
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