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 atmosphere, where you will cooperate closely with your colleagues across the bank.
Give input to senior management and business based on data analysis and previous experience.

Who you are

This is the right role for you if:

Enjoy learning and are excited about bringing your ideas to the table.
Take the ownership of the task, but enjoying collaboration with others.
Have good communication skills to manage stakeholder interaction efficiently across the value chain.

Your background and skills include:

Advanced degree in a quantitative field, including but not limited to economics, statistics, physics, mathematics, data science, computer science or similar.
Experience in SQL, Python, SAS or similar.
Understanding of statistical and machine learning methods.
Experience in working with data and models.
Knowledge of IRB models is an advantage.

It would be ideal if you also:

Experience in driving deliveries with the tight deadlines.
Knowledge of credit risk processes and bank products.
Understanding of technologies and IT solutions used for data processing.

What we offer

People come here when they want to get somewhere. For some, it’s to take their career to the next level. For others, it’s to break new ground within their area of expertise – in other words, with us, you will always move forward.

A culture that fosters performance and growth in one of the largest Nordic banks, offering various opportunities to evolve, develop and learn from brilliant colleagues with diverse backgrounds in a vibrant working environment.

Hybrid working model – we believe in the value of bringing people together and at the same time we embrace the freedom of flexibility.

Diversity and inclusion are a natural part of our daily work. We know that an inclusive workplace is a sustainable one. We genuinely believe that our diverse backgrounds, experiences, characteristics and traits make us stronger together. Every day we strive to find new ways to improve diversity and inclusion within our community e.g. we have signed the European Diversity Charters in the countries where we operate to show our commitment and engage with others to continue learning and improving.

If this sounds like you, get in touch!

Quantitative Risk Analyst, Realized Loss Data and Estimation

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