
(Senior) Quantitative Risk Analyst
Senior Quantitative Risk Analyst role at Nordea, Helsinki (hybrid). Lead data deliveries for IRB modelling, ensure data quality, and translate business needs into IT requirements. 5+ years of data analysis and a Master’s degree preferred.
We are looking for a (Senior) Quantitative Risk Analyst to join Credit Risk Model Analytics team, recognised for its professionalism, strong expertise, and high delivery standards. We have an ambitious development roadmap for risk models, and together with our colleagues across Nordea, we are shaping the future of banking. At Nordea, we use internal models to calculate regulatory capital. These models are developed and maintained within the Risk Models organisation and rely on a comprehensive data asset that aggregates information from across Nordea’s data landscape. Data analytics is at the core of statistical modelling, enabling deep understanding of the data used for regulatory and business‑critical purposes. About our team Meet the Credit Risk Model Analytics team, a part of Risk Models organisation. Our role is to add value to Nordea and our customers by strengthening data quality, enhancing transparency and understanding of our data, and enabling modelling teams to build robust models. Our work supports financial calculations and helps bank advisors make sound credit decisions. Our team plays a key role in driving complex data deliveries related to IRB modelling datasets. We also coordinate data‑related activities and collaborate closely with other areas within Risk Models as well as with IT and business stakeholders. Collaboration. Ownership. Passion. Courage. These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us.
The text above is the employer's original job description, extracted as written. Other details on this page, like salary, responsibilities, and requirements, are interpreted from that text by our system, not values the employer explicitly confirmed, so treat them as our best interpretation rather than verified facts.
Estimated from 3,461 comparable listings
- Drive 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
- Refine and clarify business requirements for accurate implementation
- Provide clear status updates to stakeholders as subject matter expert
- Prepare analyses, reports, and documentation for senior management and regulatory reporting
- Act as a bridge between business and IT to ensure shared understanding
- 5+ years of hands-on data analysis in structured database environments
- Strong SQL and Python skills
- Experience with IRB-related processes or data modelling
- Master’s degree in finance, economics, engineering, physics, mathematics, or related quantitative field or equivalent senior-level experience
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