Model Risk & Validation Specialist (f/m)

The project is focused on the development of a Transaction Monitoring solution within the Financial Crime area. The scope includes new data integrations, scenario development, testing and solution activation across multiple markets.

Responsibilities:

• Own the development and validation of transaction monitoring models, with a focus on model documentation, model review and model governance.

• Drive model governance activities, including validation assessments and implementation of 2nd line feedback.

• Set and execute the direction for model development and experimental design, balancing analytical rigor with practical constraints.

• Document model design and outcomes, ensuring accuracy, completeness and analysis of model assumptions, limitations and weaknesses.

• Provide hands-on support for prototyping tests and analytical methodologies.

• Collaborate with the analytics team to design, test and implement model SOPs, including data lineage/governance, tuning and calibration, and monitoring of model operations and outcomes.

• Collaborate professionally with internal and external stakeholders.

Must-have:

• Experience in Model Risk Management, Model Governance and Model Validation.

• Strong background in Data Science, Statistics and Quantitative Methods.

• Experience in Model Documentation.

• Experience in Academic/Technical Writing.

• Advanced quantitative degree (MSc/PhD) in Computer Science, Statistics, Mathematics, Actuarial Science or a related quantitative field.

Nice to have:

• Experience in Financial Crime/AML.

• Experience in Transaction Monitoring.

• Experience as a Model Validator/Quantitative Risk Analyst.

• Knowledge of Quantexa.

• Experience with finance products.