Quantitative Risk Analyst, Credit Risk Data Analytics [Regular/Senior/Lead]

Nordea Group; Województwo mazowieckie; Vor Ort; PLN 120.000 - 180.000; Vollzeit

Zusammenfassung

Nordea’s Credit Risk Data Analytics team is seeking a Quantitative Risk Analyst to advance data-driven insights and assess capital impact of new models and regulatory changes. The role embraces advanced analytics, data quality improvement, and cross-functional collaboration with business and IT to support senior management and regulatory reporting.

You will work across multiple streams, delivering robust analyses and ensuring transparent stakeholder communication in a fast-paced banking

Qualifikationen

• Experience operating in complex, fast-paced environments.
• Experience managing multiple parallel workstreams and end-to-end deliveries.
• High level of independence and accountability.
• Advanced analytical skills and data-driven thinking.

Aufgaben

• Assess capital impact of new models and regulatory changes.
• Analyze credit risk data, identify data quality issues and perform root-cause analysis.
• Develop and improve data quality tools.
• Create data visualisations and insights to support decision-making and stakeholder discussions.
• Optimize processes and drive strategic initiatives within your areas of expertise.
• Act as a subject matter expert for specific data areas and respond to ad-hoc information requests.
• Provide clear and structured status updates to relevant stakeholders.
• Prepare analyses, reports and documentation for senior management and regulatory reporting.
• Act as a bridge between business and IT to ensure shared understanding.

Kenntnisse

Advanced analytics

Coordination

Independence

Multi-project management

Fast-paced environment

Jobbeschreibung

Job ID: 7171

Do you enjoy advanced data analysis and solving complex problems? Are you motivated by finding robust, innovative solutions and applying sound banking principles in a data‑driven environment? We are looking for a Quantitative Risk Analyst [Regular/Senior/Lead] to join the Credit Risk Data Analytics team, recognised for its professionalism, strong expertise, and high delivery standards. We have an ambitious roadmap for data analytics, tools and strategic initiatives. Together with our colleagues across Nordea, we are shaping the future of banking.

About Our Team

Meet the Credit Risk Data Analytics team. Our role is to add value to Nordea and our customers by providing insights into credit risk data, assessing the capital impact of new models and regulatory changes, and improving data quality and transparency.

Our team develops analytical tools and infrastructure, optimises processes, and provides subject matter expertise across our data areas. Our work supports financial calculations and helps bank advisors make sound credit decisions.

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.

What You’ll Be Doing

Main responsibilities in this role:

• Assessing the capital impact of new models and regulatory changes;
• Analysing credit risk data, identifying data quality issues and conducting root-cause analysis;
• Developing and improving data quality tools;
• Creating data visualisations and insights to support decision‑making and stakeholder discussions;
• Optimising processes and driving strategic initiatives within your areas of expertise;
• Acting as a subject matter expert for specific data areas and responding to ad‑hoc information requests;
• Providing clear and structured status updates to relevant stakeholders;
• Preparing analyses, reports and documentation for senior management and external or regulatory reporting;
• Acting, when required, as a bridge between business and IT to ensure a shared understanding and effective collaboration.

Who You Are

This is the right role for you if you bring:

• Proven ability to operate effectively in complex, fast‑paced environments, adapting priorities while maintaining delivery focus;
• Strong structuring and coordination capabilities, with experience managing multiple parallel workstreams and end‑to‑end deliveries;
• High level of independence and accountability, combined with the ability to work effectively across teams and senior stakeholder groups;
• Advanced analytical skills