Assistant Quantitative Risk Analyst in IRB models

4 tygodni temu


Warsaw, Polska Nordea Bank Pełny etat

Job ID: 25047 


Would you like to use your analytic talent and contribute to a business environment? We are now looking for an Assistant Quantitative Risk Analyst to develop new methods within the Internal Rating Based (IRB) space.

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 Risk Models Methodology & IRB Models team. We add value by analysing data and turning it into predictive risk models. At Nordea, we use internal models for calculating regulatory capital and these models are developed and maintained by Risk Models. As the Assistant Quantitative Risk Analyst, you’ll play a valuable role in making the data come together into new and structured insights.

What you’ll be doing:

Extracting and transforming data into valuable insights Finding and remedying data issues by proposing a way to address them Develop and align new methodology and code across IRB models Presenting your work to internal stakeholders Driving projects across different credit risk workstreams Growing into a subject matter expert


You’ll join a team with variety of backgrounds and skills in Finland, Denmark, Poland and Sweden.

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:

Have an analytical and problem-solving mindset Enjoy working in a team, but also master working independently Work well in a dynamic and constantly changing work environment with varying workload Have strong analytical skills and keen attention to detail with the ability to analyse complex data and processes to derive meaningful insights, yet able to see the big picture Have good communication and presentations skills, you are not afraid to speak up and can effectively translate complex topics to a variety of stakeholders Are curious and proactive, focus on solutions rather than problems and share our enthusiasm for developing and learning and constantly improving your skills and competences


Your experience and background: 

Academic degree – either at Master or PhD level – in Finance, Mathematics, Engineering or Physics Hands on experience with data or demonstratable computing skills (data extraction and manipulation, visualisation) Understanding of the credit risk/IRB area, particularly working previously with credit risk would be an advantage but is not a prerequisite A certain coding/scripting proficiency is expected – Python/SQL/Pyspark/Hadoop skills would be seen as an advantage Interest in business/economy/finance/investing Written and spoken proficiency in English

If this sounds like you, get in touch



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