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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Identify, assess and manage financial risks, with a primary focus on credit risk, capital usage and IFRS 9 reserves (ECL) using data and quantitative analysis as key tools.
- Contribute to the development, analysis and use of profitability models and other business models, supporting risk-adjusted decision-making, pricing, portfolio steering and capital efficiency.
- Develop and refine underwriting frameworks and credit decision processes in close collaboration with the business.
- Drive the development of data infrastructure, data quality and analytical capabilities to ensure compliance with regulatory frameworks and internal standards.
- Design and maintain monitoring and internal reporting of financial risk metrics to be reported to SEB Kort management and other relevant stakeholders.
Requirements
What you’ll need- 5+ years of relevant experience within credit risk, including regulatory frameworks and risk data infrastructure in a banking or financial services environment.
- Strong analytical capabilities and the ability to structure, interpret and communicate complex information.
- Programming skills in SAS, Python and SQL, or equivalent tools used for data analysis and modelling.
- A relevant university degree in finance, economics, mathematics, engineering or similar.
- Strong stakeholder management skills, with the ability to collaborate effectively across functions and divisions.
- Professional proficiency in spoken and written English.
- Experience from modelling within risk, profitability or business analytics is considered an advantage.
Benefits
Comp & perks- An opportunity to develop risk management capabilities and be a close partner to the business.
- Innovative working environment with highly motivated colleagues.
- International environment with extensive learning opportunities.
- Friendly and welcoming culture.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
credit riskdata analysisprofitability modelsunderwriting frameworksregulatory frameworksdata infrastructureSASPythonSQLfinancial risk metrics
Soft Skills
analytical capabilitiesstakeholder managementcollaborationcommunication
Certifications
university degree in financeuniversity degree in economicsuniversity degree in mathematicsuniversity degree in engineering
