Credit Risk Model Validator

2 weeks ago

Stockholm, Sweden Nordea Bank Full time

Job ID: 24510 


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.

At Nordea, we’re committed to being a partner our customers and society can count on. Compliance and integrity go hand in hand. Joining us means you’ll have an impact on how we do banking – today and tomorrow. So bring your ideas, skills and unique background. With us, you’ll be in good company with plenty of opportunities to collaborate, grow and make your mark on something bigger.

About this opportunity

Welcome to the Model Risk & Validation unit. We add value by assessing risks related models used in Nordea through e.g. independent model validation. As a Quantitative Risk Analyst, you will play a key role in ensuring that models satisfy internal and external standards for conceptual soundness, performance and use.

What you’ll be doing:

Take an active role in the validation of existing, new and changed credit risk models, with particular focus on IRB models (PD/LGD/EAD). 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

Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best – and that we imagine you share with us.

To succeed in this role, we believe that 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.

In addition, we believe that your experience and background entails: 

Academic degree – either at Master's or PhD level – in a quantitative field, such as mathematics, statistics, finance, engineering or economics with a specialisation in a quantitative subject. Experience in Python or SAS programming is an advantage.

If this sounds like you, get in touch

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