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.