Quantitative Risk Analyst, Realized Loss Data and Estimation
About this role
Job ID: 5670
Do you want to play an important role in one of the largest model development programmes in Nordics? We are now looking for the Quantitative Risk Analyst to develop LGD (loss given default) data and models in Nordea.
The job provides an exciting mix of challenges such as data analysis, providing inputs to the development of statistical models, designing internal software libraries, working with big data, analysing economic behaviour, understanding and abiding to regulatory constraints.
About our team
Meet the Realised Loss Data and Estimation team in Risk Models Methodology & IRB Models in Nordea. Working with us, you will be a part of one of the most important programs for the bank, which consists in upscaling Nordea’s internal models for credit risk. The primary focus of this role is development of the target variable for Nordea’s Loss Given Default (LGD) models, but there would be opportunities to work other IRB parameters. As the Quantitative Risk Analyst you will develop your skills within advanced modelling - a field which is in high focus in Nordea.
Being a part of the broader Group Risk organization, you'll help ensure that compliance underpins every decision we make and every action we take. By bringing your perspectives to the team and through your focus on quality and cooperation, you will be important.
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.
What you’ll be doing
Main responsibilities in this role:
Develop, test and maintain realised loss data for LGD models.
Develop tools for data extraction for model development and other analysis.
Work with internal business unit users of IRB LGD models and help integrate Continuously work on improving methodological choices for the models and be able to clearly communicate its rationale and impact to internal and external stakeholders.
Join an open and inspiring atmosph