Counterparty Risk Analytics Specialist (Hybrid)

Nordea; Stockholms kommun; Hybride; SEK 800 000 - 1 100 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Nordea benefits

Résumé du poste

Nordea in Sweden seeks a Risk Expert to join the Counterparty Credit Risk team in a permanent, full‑time role. You will produce and analyze risk reporting, support governance, and collaborate with risk, front office, finance, and technology colleagues.

You will translate complex data into clear commentary, develop dashboards, and contribute to stress testing, data quality, and control routines. A strong quantitative background and CCR concepts, with SQL/Python/R and Power BI experience, are

Qualifications

• Strong understanding of Counterparty Credit Risk concepts (exposure measures, collateral, CVA, limit utilisation).
• Experience producing management information, executive summaries, dashboards, and regulatory reporting inputs.
• Proficiency in Excel, PowerPoint, SQL, Python, R, and Power BI for data extraction, analysis, and visualization.
• Experience in banking, financial services, risk management, or regulatory reporting.

Responsabilités

• Produce and enhance CCR reports for management, committees, risk owners, and regulators.
• Analyse movements in exposure measures and collateral, review data integrity and breaches.
• Investigate data breaks, outliers, concentrations, exemptions, and emerging risk themes.
• Prepare concise executive commentary on drivers, trends, and risk outlooks.

Connaissances

CCR concepts

Risk analytics

Stakeholder communication

Regulatory awareness

Data visualization

Formation

Degree in finance, economics, mathematics, statistics, engineering, or CS

Outils

SQL

Python

R

Power BI

Excel

PowerPoint

Description du poste

Nordea in Sweden seeks a Risk Expert to join the Counterparty Credit Risk team in a permanent, full‑time role. You will produce and analyze risk reporting, support governance, and collaborate with risk, front office, finance, and technology colleagues.

You will translate complex data into clear commentary, develop dashboards, and contribute to stress testing, data quality, and control routines. A strong quantitative background and CCR concepts, with SQL/Python/R and Power BI experience, are