Quantitative Risk Analyst, Credit Risk Data Management

About this job

Job ID: 5814 We are looking for Quantitative Risk Analyst [Assistant/Regular/Senior] from all background and level to join our Risk Models Data and Strategy teams that is recognized for its professionalism, competence and capabilities. Do you enjoy working with data analysis? Do you like solving problems and finding new and innovative solutions? Do you understand the principles of banking and are you able to apply this knowledge in your daily work? If you have previous experience with Credit Risk models, then great! If you have a flair for data and a genuine interest in analysis, you are also welcome! About our team Meet the Credit Risk Data Management, a part of the Risk Models Data & Strategy organization in Risk Models. We have an ambitious development plan for development of IRB models and together with our colleagues in Nordea we’ll be part of creating the future of banking. The Risk Models Data & Strategy department, is a department consisting of 6 team, each specialized in their own part of ensuring high quality data is supporting the bank capital foundation. We add value to Nordea and our customers by improving Nordea data quality, helping visualizing and create the understanding of our data so modelling teams can build great internal models used for Own Funds calculation and the for risk management. 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 As a Quantitative Risk Analyst, the specific role may vary based on qualifications, but you could i.e. play a valuable role in Data analytics, optimizing data flows, product management or as a data governance specialist. Your role could also include coordinating data related activities and ensuring proper communication within the teams and across other Risk Models areas. Main responsibilities in this role: Root-cause analysis for data quality issues, where we meticulously investigate and identify the underlying reasons for any discrepancies in our data. This is closely followed by data reconciliation, ensuring that our data sets are consistent and accurate across different sources. We focus on optimizing data flows and algorithms to enhance the efficiency and effectiveness of our data processes. Own and manage all data used in credit risk models across the end-to-end lifecycle, applying data product mindset to capture, enhance and realize value throughout credit risk models. Identify and govern critical data elements though strong knowledge of credit risk models, regulatory expectation and capital. Secure our Data Governance framework and processes with focus on effective Data Quality Controls, also ensuring documentation of Data Lineage toward all data providers and consumers for credit risk data. Preparing reports and other documentation for senior management and external reporting is also an integral part of our role, ensuring transparency and informed decision-making. You’ll join an international team with variety of backgrounds and skills. We believe that strong drive and passion for change are fundamental for delivering on our commitments. Bring your background and skills to our team, and you will have plenty of opportunities to collaborate, grow and develop. Who you are This is the right role for you if you: Have an adaptability to thrive in fast-paced and dynamic environment. Are structured and able to coordinate several deliveries simultaneously. Are self-driven and able to work independently but also enjoy collaboration with others. Have strong analytical skills and keen attention to detail with the ability to analyse complex data and processes to derive meaningful insights. Have good communication and presentations skills, are not afraid to speak up and can effectively convey business requirements to IT teams and facilitate collaboration between stakeholders. Are curious and proactive, focus on solutions rather than problems and share our enthusiasm for developing and learning and constantly improving your skills and competences. Your background and skills include: Experience with Credit Risk modeling, capital reporting, and understanding regulatory requirements as BCBS239 and TRIM. Knowledge of SQL, SAS, Snowflake, Python or similar. Master’s degree in finance, economics, engineering, physics, mathematics or similar. A strong focus on results, deliveries and deadlines. Experience with Big Data would be an asset. An interest in finance and technology. If this sounds like you, get in touch! Next steps Submit your application no later than 30/09/2026. We enable dreams and aspirations for a greater good. We build relationships. We add a personal touch to everything we do – when advising our customers, collaborating with colleagues, and meeting our potential candidates. We learn and develop. We take pride in being experts and thinking ahead. We use our expertise to meet our customers’ needs, from the simplest to

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Most-requested skills in Sweden

Based on 463 Sweden vacancies that list requirements, these are the skills employers ask for most often.

• SQL70% of postings
• Python60% of postings
• Power BI32% of postings
• ETL27% of postings
• dbt21% of postings
• Snowflake20% of postings
• Statistics17% of postings
• Machine Learning14% of postings

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