Key Responsibilities:

• Lead the development and deployment of advanced machine learning models to enhance our detection of different criminal behaviours across different Wise markets.

• Analyze large volumes of data to identify trends, patterns, and anomalies associated with potential criminal behaviour.

• Design and implement experiments to evaluate the effectiveness of Fincrime detection systems and continuously improve their performance.

• Collaborate with analysts, compliance and engineers to translate business and compliance requirements into actionable data insights and solutions.

• Develop robust data pipelines, algorithms, and tools to support real-time detection and response to Fincrime activity.

• Stay informed about the latest advancements in data science and machine learning to ensure state-of-the-art capabilities in the Fincrime domain.

• Mentor and guide junior data scientists, fostering a culture of collaboration and continuous learning within the team.

   

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