Senior Data Scientist - Financial Crime Risk

We’re looking for a Senior Data Scientist to join our growing Financial Crime Risk Team in Tallinn. 

This role is a unique opportunity to work behind the scenes of company transactions, understand how we mitigate risk and at the same time provide our customers with the seamless service they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers.risk and at the same time provide our customers with the

At Wise, we strive to create a world where money moves freely. Our dedicated Financial Crime Risk (Fincrime Risk) team plays a crucial role in safeguarding our customers and Wise from criminal activity. We are seeking a talented Senior Data Scientist to lead data-driven initiatives within the Fincrime domain and develop cutting-edge intelligence solutions.Risk (Fincrime Risk) team plays a crucial role in safeguarding our customers and Wise from criminal activity. We are

Role Overview:

As a Senior Data Scientist on the Fincrime Risk team, you will leverage your expertise in data science to innovate and deploy models that enhance our Fincrime detection capabilities on a global level. Your work will directly influence our ability to safeguard our customers  against criminal actors. You will collaborate closely with cross-functional teams, including engineering, product, and compliance.

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.