Credit Risk Manager - Data Analytics (Remote)

NOBA Bank Group

Oslo

Hybrid

NOK 900,000 - 1,300,000

Full time

4 days ago
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Benefits offered by this job

Remote work option
Competitive compensation

Job summary

NOBA Bank Group in Oslo/Denmark seeks a Risk Manager for our Danish portfolio to join Credit Underwriting & Decision Analytics. You will collaborate with cross-functional teams, analyze credit bureau data, develop data-driven monitoring, and monitor risk performance.

We value strong analytical skills, Danish or Norwegian fluency, and experience with R, Python, SAS or SQL. This is a permanent, full-time role with a remote option.

Qualifications

  • Minimum 3 years’ experience in credit risk in Denmark.
  • Knowledge of Danish market, credit bureau data, and regulatory factors.
  • Strong analytical skills with clear communication of findings.
  • Experience with analytical tools such as R, Python, SAS or SQL/Databricks.

Responsibilities

  • Collaborate with business, product, and cross-functional teams providing credit risk expertise.
  • Work with data structures to monitor initiatives and connect insights to risk outcomes.
  • Improve credit risk strategies, tools, and processes for efficiency.
  • Develop data-driven monitoring and reporting for proactive risk management.
  • Understand data flows to identify opportunities and optimize operations.
  • Communicate findings clearly to technical and non-technical audiences.
  • Collaborate on tasks within Credit Underwriting & Decision Analytics.

Skills

Credit risk
Data analysis
Communication
R/Python/SAS/SQL

Education

Bachelor's degree in a quantitative field

Tools

Tableau/Power BI
Cloud platforms AWS/Azure/GCP

Job description

NOBA Bank Group in Oslo/Denmark seeks a Risk Manager for our Danish portfolio to join Credit Underwriting & Decision Analytics. You will collaborate with cross-functional teams, analyze credit bureau data, develop data-driven monitoring, and monitor risk performance.

We value strong analytical skills, Danish or Norwegian fluency, and experience with R, Python, SAS or SQL. This is a permanent, full-time role with a remote option.

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