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Quantitative Business Analyst for Nordea Finance Recovery Data

1 month ago

Taastrup, Høje-Taastrup Kommune, Denmark Nordea Bank Full time

Job ID: 26433

We are seeking a Senior Business Analyst to play a key role in shaping the way credit risk recovery data is sourced in Nordea Finance. The successful candidate will understand business processes, design and implement data flows, and coordinate with other analysts and developers.

The role requires both technical hands-on work and coordination with stakeholders. There is ample opportunity to take ownership and grow as the project develops.

At Nordea, we see that the world is changing fast – and we want to be one step ahead of the curve. That's why we're deeply committed to providing the financial solutions of tomorrow to our customers.

About this opportunity

Welcome to the Credit Risk Data Analytics team within Nordea Finance. We add value by enabling data driven credit risk management across the Nordics and across the product landscape of Nordea Finance.

As a Senior Business Analyst, you'll play a valuable role in integrating Nordea Finance into the Nordea Groups centralized risk modelling, as we are modernizing the way recovery data is sourced.

What you'll be doing:

  • Take ownership of and collaborate with other data analysts in maintaining and updating as-is data models and flows built in Python and SQL
  • Work with other Credit Risk Management analysts and leaders in coordinating automation of recovery data sourcing
  • Analyse and understand our products and processes and how they are represented in legacy data models
  • Create robust and comprehensive integration of our data landscape with canonical data models of recovery data
  • Coordinate productionisation of prototypes with IT architects and developers
  • Become a subject matter expert in recovery data in Nordea Finance and act as a stakeholder towards both the local business and the group

Who you are

We are looking for a collaborative, independent, and analytical individual with strong communication and collaboration skills. You should have a degree in a relevant field and experience with credit risk recovery data, SQL, and Python.

Your experience and background:

  • Experience with credit risk recovery data, for instance as a credit risk model analyst, as an analyst in a collection agency or from similar functions in the financial industry.
  • Experience with SQL and Python.
  • Excellent English, as this is our primary working language.