Quantitative Analyst – FCP Model Validation

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. 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 Warsaw and are looking for a talented Quantitative Analyst to join our Financial Crime Prevention (FCP) Model Validation team.

What you will be doing

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.

Key responsibilities

• Perform independent qualitative and quantitative validation of financial crime risk models, covering model design, data, methodology, implementation, and use.
• Assess model performance using statistical testing, benchmarking, sensitivity analysis, and outcome analysis.
• Evaluate data quality, assumptions, limitations, and sources of model risk.
• Translate complex quantitative results into clear insights and recommendations for senior management and model stakeholders.
• Contribute to the continuous development and automation of the FCP Model Validation framework, tools, and methodologies.
• Prepare high‑quality validation reports aligned with regulatory expectations.
• Collaborate closely with model developers, model owners, compliance, and risk stakeholders across the Nordics, Baltics and other countries where SEB Group operates.

Who we are looking for

• 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.
• Different seniority levels are welcome. Responsibilities and salary will be aligned accordingly.

What we offer

• 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.