Senior Quantitative Risk Analyst - IRB Data Modelling Lead

Nordea; Stockholms kommun; Hybrid; SEK 900,000 - 1,100,000; Full time

Job summary

Nordea in Sweden is seeking a (Senior) Quantitative Risk Analyst to join the Credit Risk Model Analytics team. You will help shape the future of banking by delivering complex IRB modelling data, reconciling sources, and translating business needs into robust data solutions.

The role requires 5+ years in data analysis in large databases, strong SQL/Python skills, and a Master’s degree in a quantitative field.

Qualifications

• 5+ years of hands-on data analysis in structured database environments.
• Experience with IRB modelling datasets in banking or consulting.
• Knowledge of IRB-related processes and regulatory requirements.
• Strong SQL and Python skills in a professional context.
• Master's degree in finance/economics/engineering/physics/mathematics or equivalent senior-level experience.

Responsibilities

• Drive data deliveries on IRB modelling datasets.
• Reconcile data across multiple sources.
• Perform root-cause analysis and remediate data quality issues.
• Integrate new data sources.
• Refine business requirements for accurate implementation.
• Provide clear status updates to stakeholders as a subject matter expert.
• Prepare analyses, reports and regulatory or management documentation.
• Bridge between business and IT to ensure shared understanding.

Skills

Data analysis

IRB modelling

SQL

Python

Regulatory knowledge

Stakeholder management

Education

Master's degree in a quantitative field

Job description

Nordea in Sweden is seeking a (Senior) Quantitative Risk Analyst to join the Credit Risk Model Analytics team. You will help shape the future of banking by delivering complex IRB modelling data, reconciling sources, and translating business needs into robust data solutions.

The role requires 5+ years in data analysis in large databases, strong SQL/Python skills, and a Master’s degree in a quantitative field.