Job Description

• Design, develop, and implement predictive and descriptive models to identify and prevent financial crime.
• Collaborate with cross-functional teams to gather requirements and ensure models meet business needs and regulatory standards.
• Continuously improve and refine models based on feedback and performance metrics.
• Utilize knowledge of AML regulations and financial crime typologies to inform model development and testing.
• Conduct extensive back-testing and stress-testing of models to ensure they perform well under various scenarios.
• Work with large datasets to extract, clean, and pre-process data for model development.
• Apply advanced statistical techniques and methodologies to analyze data and derive actionable insights.
• Communicate complex statistical concepts and findings to non-technical stakeholders in a clear and concise manner.
• Proactively identify and address challenges related to data, model accuracy, and operational implementation.
• Collaborate with team members to brainstorm and implement innovative solutions to complex problems.

• Proven experience in developing and deploying transaction models in a financial crime or AML context.
• Strong programming skills in languages such as Python, R, or SQL.
• Solid understanding of statistical methods and their application in real-world scenarios.
• Excellent problem-solving skills with a proactive and innovative mindset.
• Strong communication skills, both written and verbal, with the ability to convey complex concepts to a diverse audience.
• Familiarity with AML regulations and financial crime prevention strategies.

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