Senior Risk Model Developer

København S, DK, 2300

Job ID: 24133

Are you an economist, engineer, statistician or mathematician with a strong interest in finance and quantitative models? This is an opportunity to join a leading model development team working with advanced models in an international environment.

We are looking for a Senior Quantitative Risk Modeller with a technical profile to join the Traded Credit & CVA team at Nordea. The team is based in Copenhagen.

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 We are a team of highly skilled and motivated individuals which plays a key role in supporting the risk management in Nordea by developing and maintaining models for market risks related to CVA and traded credit instruments such as bonds and CDS’s. The responsibilities of the team cover all steps of the model development process, including interpretation of regulation, model design, model documentation, implementation and communication to internal and external stakeholders. This role will put skills in math, statistics and programming as well as communication and collaboration to good use. What you’ll be doing:

• Develop new models and improved ways to measure market risks related to traded credit instruments and CVA
• Validate and scrutinize our current models using economical and quantitative analysis
• Take part in ensuring that adequate model frameworks are in place, risks are identified, well-understood, monitored, controlled, reported and mitigated
• Partner-up with business and risk management functions to support prudent business
• Contribute to Nordea’s communication to, for example, the European Central Bank regarding Nordea’s risk models and methods to measure risk
• Drive automation and deployment of risk models in collaboration with IT infrastructure teams. Provide business support during the go-live phase and beyond
• Design, develop and maintain internal code libraries, predominantly in Python
• Build IT tools for impact testing, analysis and data reconciliation
• In collaboration with subject matter experts, translate regulatory requirements into tangible software solutions

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.

Naturally, you take ownership of your work, and you are dedicated to deliver with quality and on time. You are self-organized and able to work independently if required while being able to integrate well with the team. Moreover, you strive to develop professionally and stay curious on that journey. Your professional profile:

• You have an academic degree (Master or PhD) in a relevant field, such as finance, econometrics, mathematics, statistics, physics, computer science or similar
• Working knowledge in mathematical finance, derivatives pricing, and risk management within banking is ideal. A solid understanding of and experience working with CVA and/or credit related instruments is an advantage
• You are experienced in software development and coding. The team develops mostly in Python, but experience in other languages is also acknowledged
• You possess a strong intuition with a sound theoretical basis, while being sufficiently hands-on and pragmatic to find working solutions
• The ideal candidate has at least three years of relevant working experience, but exceptional talents with less experience are also of interest

If this sounds like you, get in touch!

Next steps Submit your application no later than 17/06/2024. For more information, you’re welcome to contact Ola Larsson, Head of Traded Credit & CVA, [email protected]. At Nordea, we know that an inclusive workplace is a sustainable workplace. We deeply believe that our diverse backgrounds, experiences, characteristics and traits make us better at serving customers and communities. So please come as you are.

Please be aware that any applications or CVs coming through email or direct messages will not be accepted or considered.