Quantitative Risk Analyst, Credit Risk Data Management
About this role
Job ID: 5814
We are looking for Quantitative Risk Analyst [Assistant/Regular/Senior] from all background and level to join our Risk Models Data and Strategy teams that is recognized for its professionalism, competence and capabilities.
Do you enjoy working with data analysis? Do you like solving problems and finding new and innovative solutions? Do you understand the principles of banking and are you able to apply this knowledge in your daily work?
If you have previous experience with Credit Risk models, then great! If you have a flair for data and a genuine interest in analysis, you are also welcome!
About our team
Meet the Credit Risk Data Management, a part of the Risk Models Data & Strategy organization in Risk Models. We have an ambitious development plan for development of IRB models and together with our colleagues in Nordea we’ll be part of creating the future of banking.
The Risk Models Data & Strategy department, is a department consisting of 6 team, each specialized in their own part of ensuring high quality data is supporting the bank capital foundation. We add value to Nordea and our customers by improving Nordea data quality, helping visualizing and create the understanding of our data so modelling teams can build great internal models used for Own Funds calculation and the for risk management.
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
As a Quantitative Risk Analyst, the specific role may vary based on qualifications, but you could i.e. play a valuable role in Data analytics, optimizing data flows, product management or as a data governance specialist. Your role could also include coordinating data related activities and ensuring proper communication within the teams and across other Risk Models areas.
Main responsibilities in this role:
Root-cause analysis for data quality issues, where we meticulously investiga