Senior Quantitative Risk Analyst - IRB Data & Modeling (Hybrid)

Nordea; Helsinki; Hybrid; EUR 85,000 - 120,000; Full time

Benefits offered by this job

Hybrid working model

Job summary

Nordea is seeking a (Senior) Quantitative Risk Analyst to join the Credit Risk Model Analytics team. The role focuses on IRB modelling data deliveries, data quality, and robust model development within Nordea's Risk Models organisation.

You will work across IT and business stakeholders to ensure accurate data-driven insights for regulatory and business reporting. The ideal candidate has 5+ years of data analysis experience, strong SQL and Python skills, and a Master’s-level quantitative

Qualifications

• 5+ years of hands-on experience with data analysis in structured database environments, working with large and complex datasets.
• Knowledge of IRB-related processes and regulatory requirements is a plus.
• Strong practical experience with SQL and Python in a professional context over multiple years.

Responsibilities

• Driving complex data deliveries on IRB modelling datasets.
• Data reconciliation across multiple sources.
• Root‑cause analysis and remediation of data quality issues.
• Integration of new data sources.
• Clarify business requirements for accurate implementation.
• Provide updates to stakeholders as a subject matter expert.
• Prepare analysis, reports, and documentation for senior management and regulatory reporting.
• Act as a bridge between business and IT when required.

Skills

SQL

Python

Data analysis

IRB modelling

Stakeholder management

Education

Master's degree in finance, economics, engineering, physics, mathematics, or related quantitative field

Tools

SQL

Python

Job description

Nordea is seeking a (Senior) Quantitative Risk Analyst to join the Credit Risk Model Analytics team. The role focuses on IRB modelling data deliveries, data quality, and robust model development within Nordea's Risk Models organisation.

You will work across IT and business stakeholders to ensure accurate data-driven insights for regulatory and business reporting. The ideal candidate has 5+ years of data analysis experience, strong SQL and Python skills, and a Master’s-level quantitative