About the Role
Would you like to be part of a team with experienced and talented colleagues and make a difference for Nordea’s credit risk models? We are currently looking for skilled Analysts to strengthen Nordea's independent model validation function.
About our team
Meet the Model Risk & Validation team. We add value by assessing risks related models used in Nordea through independent model validation and other means. As a Credit Risk Model Validator, you will play a key role in ensuring that models satisfy internal and external standards for conceptual soundness, performance and use.
Collaboration. Ownership. Passion. Courage. These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us.
Main responsibilities in this role:
Take an active role in the validation of existing, new and changed credit risk models, including IRB (PD/LGD/EAD), IFRS9 and credit risk stress testing models.
Use quantitative and qualitative analyses to identify and assess model risk.
Communicate the outcome of our reviews to a variety of stakeholders.
Advise and guide model developers and other stakeholders in managing model risks.
Develop and improve techniques and processes for model validation.
You will join a dynamic and inclusive team of experienced model risk experts with diverse backgrounds and willingness to share their expertise and learn from you. We work in a cross-border team with team members in Copenhagen, Helsinki, Stockholm and Warsaw. We provide a working environment with a balanced hybrid approach combining both collaboration in the office and remote work.
Who you are
This is the right role for you if you:
Are confident in your analysis, but also willing to challenge your views with peers.
Engage in a productive collaboration with stakeholders including model owners/developers.
Enjoy working in a team, but also independently.
Have an eye for detail, yet able to see the big picture.
Have excellent skills in spoken and written communication (English).
Effectively communicate complex topics to a variety of stakeholders.
Your background and skills include:
Academic degree in a quantitative field, such as mathematics, statistics, finance, engineering or economics.
Previous experience within credit risk model development and/or credit risk model validation.
Experience in Python or SAS programming.