Quantitative Analyst – FCP Model Validation| SEB, Vilnius
SEB is a leading Northern European financial services group with a strong focus on risk identification, measurement, monitoring, and governance. As banking becomes increasingly data‑driven and model‑intensive, model validation plays a critical role in ensuring trust, regulatory compliance, and sound decision‑making.
About the role:
As part of an independent Model Validation function, you will challenge model design, data, and outcomes, and turn your findings into clear recommendations for stakeholders and senior management. We are now strengthening our Model Risk function in Vilnius and are looking for a talented Quantitative Analyst to join our Financial Crime Prevention (FCP) Model Validation team.
You will join an experienced, highly analytical Model Validation team and independently assess financial crime models, including money laundering (ML)/terrorist financing (TF) transaction monitoring, customer risk scoring, and related models—using statistical testing, benchmarking, and outcome analysis to challenge model performance and limitations. Your work supports regulatory compliance, risk management, and key business decisions across SEB.
- Performing independent qualitative and quantitative validation of financial crime risk models, covering model design, data, methodology, implementation, and use
- Assessing model performance using statistical testing, benchmarking, sensitivity analysis, and outcome analysis
- Evaluating data quality, assumptions, limitations, and sources of model risk
- Translating complex quantitative results into clear insights and actionable recommendations for senior management and model stakeholders
- Contributing to the continuous development and automation of the FCP Model Validation framework, tools, and methodologies
- Preparing high-quality validation reports aligned with regulatory expectations
- Collaborating closely with model developers, model owners, compliance, and risk stakeholders across the Nordics, Baltics, and other countries where SEB Group operates
- Strong academic background in mathematics, statistics, econometrics, data science, engineering, physics, finance, or a related quantitative field.
- Solid experience working with data and quantitative analysis (e.g. R or Python, SQL, Git).
- Interest in model validation, model risk, and the regulatory use of models.
- Ability to critically assess models and data.
- Strong analytical mindset combined with the ability to clearly explain results to non‑technical audiences.
- Proactive, independent, and quality‑driven team player.
- Previous experience in ML/TF, financial crime, risk management, or regulated financial services is an advantage but not a requirement.
- A key role in an independent Model Risk function with high visibility and impact.
- Exposure to a wide range of financial crime risk models across SEB Group.
- A strong learning environment with continuous development in quantitative methods, regulation, and model risk management.
- Flexible hybrid working model and focus on work–life balance.
- Attractive benefits package and additional days off.
- Inclusive, international, and value‑driven work culture.
The above indicated range is the monthly salary range for this position before tax deduction.
The final offer will depend on the experience and competencies of the selected candidate. The overall remuneration package consists of the salary together with other benefits.