Data-Driven Risk Manager - Danish Portfolio (Remote)

NOBA Bank Group

Norway

Hybrid

NOK 900,000 - 1,250,000

Full time

2 days ago
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Job summary

NOBA Bank Group is seeking a Risk Manager for our Danish portfolio to join the Credit Underwriting & Decision Analytics team in the Nordics. You will collaborate with cross-functional colleagues, apply credit risk expertise to business decisions, and help optimize our data-driven monitoring and risk management.

Ideal candidates have at least 3 years in credit risk, Danish or Norwegian language fluency, experience with R, Python, SAS or SQL, and a quantitative degree.

Qualifications

  • 3+ years of experience in credit risk within Denmark.
  • Knowledge of credit bureau data, regulatory requirements and Danish market risk factors.
  • Strong analytical skills to interpret data and present findings clearly.
  • Fluency in Danish and/or Norwegian; excellent communication skills.

Responsibilities

  • Collaborate with business and cross-functional teams to infuse credit risk insights into decisions.
  • Develop and maintain data-driven monitoring and reporting for proactive risk management.
  • Improve credit risk strategies, tools, and processes for operational efficiency.
  • Understand data flows and identify opportunities to optimize risk and operations.
  • Communicate findings clearly to technical and non-technical audiences.
  • Support continuous improvement initiatives within Credit Underwriting & Decision Analytics.

Skills

Credit risk
Analytical thinking
Communication skills
Collaboration
Business insight

Education

Bachelor's/Master's in quantitative field

Tools

R
Python
SAS
SQL/Databricks
Tableau
Power BI

Job description

NOBA Bank Group is seeking a Risk Manager for our Danish portfolio to join the Credit Underwriting & Decision Analytics team in the Nordics. You will collaborate with cross-functional colleagues, apply credit risk expertise to business decisions, and help optimize our data-driven monitoring and risk management.

Ideal candidates have at least 3 years in credit risk, Danish or Norwegian language fluency, experience with R, Python, SAS or SQL, and a quantitative degree.

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