Senior Quant Risk Analyst: Data Analytics & Visualization

Nordea Group; Helsinki; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid working model

Job summary

Nordea Group in Helsinki is seeking a Quantitative Risk Analyst (Regular/Senior/Lead) to join the Credit Risk Data Analytics team. You will assess capital impact of new models, analyze credit risk data, and develop data quality tools to support decisive actions.

The role emphasises data visualization, stakeholder collaboration, and driving strategic initiatives across data areas. A strong analytical mindset, programming skills (SQL/SAS/Python), and effective communication are essential.

Qualifications

• Foundational understanding of credit risk concepts and data analytics.
• Experience analysing data in structured database environments.
• Strong programming skills in SQL/SAS/Python or similar.
• Ability to translate complex findings into clear insights for stakeholders.
• Ability to manage multiple workstreams with end-to-end delivery.

Responsibilities

• Assessing the capital impact of new models and regulatory changes.
• Analysing credit risk data, identifying data quality issues and root causes.
• Developing and improving data quality tools.
• Creating data visualisations and insights to support decision-making.
• Optimising processes and driving strategic data initiatives.
• Acting as a SME for data areas and responding to ad-hoc requests.
• Providing status updates to stakeholders and preparing reports for senior management.

Skills

Analytical thinking

Stakeholder communication

Independent and accountable

Cross-team collaboration

Data visualization

Education

Finance degree

Economics degree

Engineering degree

Physics degree

Mathematics degree

Tools

SQL

SAS

Python

Job description

Nordea Group in Helsinki is seeking a Quantitative Risk Analyst (Regular/Senior/Lead) to join the Credit Risk Data Analytics team. You will assess capital impact of new models, analyze credit risk data, and develop data quality tools to support decisive actions.

The role emphasises data visualization, stakeholder collaboration, and driving strategic initiatives across data areas. A strong analytical mindset, programming skills (SQL/SAS/Python), and effective communication are essential.