• Execute external and internal credit and climate risk stress test exercises
• Perform in-depth analysis on the credit portfolio and stress test results, prepare and explain the risk analysis results to senior stakeholders, committees and regulators
• Develop and maintain review and control processes for the stress testing results, engaging with stakeholders to test the adequacy of the outcomes and develop and propose adjustments where appropriate
• Understand key drivers and risks in order to ensure that the stress test analysis can support business decisions
• Ensure a strong feedback loop between control and review processes, and model development -analysing and contributing requirements to model development and lifecycle management
• Understand the credit risk stress testing models, and assess the compliance of the stress testing framework with respect to the regulatory capital and stress testing requirements
• Work in various projects that are highly prioritised within the bank such as ESG risk, EBA or ICAAP stress test exercises – both as a contributor, and with possibility to act as a driver

o succeed in this role, we believe that you:

• Like to get things done and can translate challenges into concrete options on what to do next
• Show quantitative analytical capability, proactivity and problem solving skills. You are comfortable working with large datasets and enjoy finding solutions to loosely defined problems
• Are a team player and can work closely, and collaborate with external stakeholders from different parts of the bank
• Can prioritise and are committed to deliver high quality on time – also under time pressure
• Are honest and reliable, willing to speak up even when it is difficult

Your experience and background: 

• A Master’s degree within a quantitative field, including but not limited to statistics, mathematics, finance, accounting, economics or engineering
• Experience from responsibilities relating to control and analysis processes
• Experience in working with data and Business intelligence, knowledge of statistical models
• Knowledge of Python. Experience with other languages such as SAS and SQL is an advantage
• Excellent collaboration skills
• Excellent presentation and communication skills in English (Nordea’s official language)
• You can be at an early phase in your career, or already more senior, but importantly you possess strong analytical and technical skills to work with large and complex data sets
• Knowledge in credit risk modelling (e.g., PD, LGD and EAD) and credit risk stress testing is an advantage
• Knowledge in credit risk related legislation and supervisory guidelines (e.g., CRR, CRD; EBA Guideline on Stress Testing) is an advantage
• Experience in working with ESG data, ESG risk and the related credit risk stress testing is an advantage
• Strong macroeconomic competence is an advantage but not necessary