Quantitative Data Analyst verifying models used in measuring credit risk. Collaborating within SEB's professional team in Vilnius and driving innovation in validation processes.
Responsibilities
You will be a part of a professional team within SEB Group CRO organization that ensures quality of models used for measuring credit risk.
We conduct in-depth reviews of the models to ensure quality performance by assessing model design and modelling methodologies, performance from the statistical point of view, data quality, implementation, regulatory compliance, and usage.
You will help ensure data quality through structured DQ checks, reconciliations, and standardized datasets, while contributing to consistent data definitions, metadata management, and well‑documented data usage.
You’ll be empowered to introduce new validation tools or enhance existing ones, driving innovation and efficiency.
Work will be organized in small, project-driven sub-teams within a fast-paced and supportive environment that fosters creativity, autonomy, and professional growth.
Requirements
An academic background in statistics, mathematics, data science, econometrics, physics, engineering or similar
3 and more year's work experience in data analysis or credit risk modelling/validation
Good statistical/programming knowledge (R, SAS, SQL, Python) and data handling skills
Hands‑on experience with large datasets, data warehouses.
Ability to design or maintain DQ frameworks, reconciliation logic, and standardized data structures.
Familiarity with integrating analytical tool outputs into structured reports.
Willingness to take on ownership and to deliver good quality work on time
Analytical and strategic mindset with the ability to transform theory into concrete action while maintaining documentation and coding standards.
Proactive and constructive team player, ready to share experience and ideas.
Good writing and communication skills (English is the main working language).
Benefits
Entrepreneurial Scandinavian environment: international working environment, empowering culture, friendly and welcoming teammates.
Growth culture: opportunity to grow professionally by contributing to large-scale, high-impact initiatives, local and international internal mobility possibilities, put an impact on social or environmental issues.
Modern environment: innovative company in forefront of technology, challenging, cutting-edge work, excellent office environment, agile and modern ways of working.
Additional monetary benefits: paid seniority vacation and volunteering days, allocations to Your pension fund, profit sharing programme, and additional health insurance.
Job title
Quantitative Data Analyst – Credit Risk Model Validation
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