Senior Quant Risk Analyst — Hybrid IRB Data Lead

Nordea; Oslo; Hybrid; NOK 900,000 - 1,200,000; Full time

Job summary

Nordea is seeking a (Senior) Quantitative Risk Analyst to join the Credit Risk Model Analytics team. You will drive data deliveries for IRB modelling datasets, reconcile data from multiple sources, conduct root‑cause analyses, and integrate new data sources to support regulatory and business reporting.

The ideal candidate has 5+ years in data analysis, strong SQL and Python skills, and a master’s in a quantitative field.

Qualifications

• 5+ years of hands-on data analysis in structured database environments.
• Experience with IRB modeling datasets and banking sector.
• Knowledge of IRB processes and regulatory requirements would be an advantage.
• Proficiency in SQL and Python in a professional context.

Responsibilities

• Drive data deliveries on IRB modelling datasets and related analyses.
• Data reconciliation across multiple sources and root-cause analysis of data quality issues.
• Integrate new data sources and refine business requirements for accurate implementation.
• Provide clear status updates to stakeholders as a subject‑matter expert.

Skills

Data analysis

SQL

Python

IRB modelling

Education

Master's degree in quantitative field

Tools

SQL

Python

Job description

Nordea is seeking a (Senior) Quantitative Risk Analyst to join the Credit Risk Model Analytics team. You will drive data deliveries for IRB modelling datasets, reconcile data from multiple sources, conduct root‑cause analyses, and integrate new data sources to support regulatory and business reporting.

The ideal candidate has 5+ years in data analysis, strong SQL and Python skills, and a master’s in a quantitative field.