Business Analytics Manager at PNC managing email marketing campaigns and leading analytics initiatives. Collaborating across teams to optimize engagement and deliverability while ensuring compliance in marketing.
About the role
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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