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Credit risk modelling, big data, data science

Would you like to take part in rebuilding Nordea’s expected credit risk models and frameworks? We are now looking for a (Senior) Quantitative Risk Analyst (Credit Risk Modelling/Data Science) to join the Collective Impairment Models team in Risk Models. The job provides an exciting mix of challenges within credit risk. You will join a highly professional and dedicated team with a large network across the bank and with excellent opportunities for personal and professional development. 

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 ECL Models team.

What you’ll be doing:

• Play a key role in a wide range of tasks in the area of credit risk including:
  • Develop credit risk models and frameworks ensure that the back accurately forecast future losess
  • Use statistical methods and tools to real world data and understand how theory and business practice interact
  • providing sharp data analytics to contribute to key decisions, 
  • establish strong relationship with different stakeholders within and outside the bank to facilitate understanding on our models and frameworks
• Work in interesting projects that are highly prioritized within the bank.

You’ll join a highly international team with people from mixed cultures and backgrounds. The role is based in Helsinki; Warszawa.

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:

• Show quantitative analytical capability, proactivity and problem-solving skills. You are comfortable working with large datasets and enjoy finding solutions to loosely defined problems.
• Are a team player and can work closely with stakeholders from different parts of the bank.
• Can prioritize and are committed to deliver high quality on time - also under time pressure.
• Are dependable, willing to speak up even when it’s difficult.

Your experience and background:

• An academic degree (MSc or PhD) within a quantitative field, including but not limited to statistics, mathematics, economics or engineering.
• Proficiency with programming languages such as SAS, SQL, Python, R.
• Experience working with data and models advantegoues but not required

If this sounds like you, get in touch!

Next steps

Submit your application no later than 11/10/2021.

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 include permit for processing personal data in CV as following:

In accordance with art. 6 (1) a and b. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) hereinafter ‘GDPR’. I agree to have: my personal data, education and employment history proceeded for the purposes of current and future recruitment processes in Nordea Bank Abp.

The administrator of your personal data is: Nordea Bank Abp operating in Poland through its Branch, address: Aleja Edwarda Rydza Śmiglego 20, 93-281 Łodź. Your personal data will be processed for the recruitment processes in Nordea Bank Abp. You have a right to access your personal data, right to rectify and right to delete. Disclosing the personal data in the scope specified by the provisions of Polish Labour Code from 26 June 1974 and executive acts are mandatory. Providing personal data is necessary to conduct the recruitment processes. The request for the deletion of your personal data means resignation from further participation in recruitment processes and causes the immediate removal of your application. Detailed information concerning processing of your personal data can be found at: https://www.nordea.com/en/doc/privacy-policy.2021.pdf

We reserve the right to reply only to selected applications.