Lead Data Scientist - AML

Wise is a global technology company building the best way to move and manage the world’s money. You will be part of the Anti-Money Laundering (AML) Risk team, developing systems to detect and mitigate Financial Crime globally.

Responsibilities:

• Develop efficient and effective AML detection controls using machine learning and GenAI
• Create frameworks to prove controls coverage at a regional level
• Develop technologies to serve Wise’s diverse international user base
• Work in cross-functional teams to own and solve AML-related problems
• Mentor junior team members on technical and non-technical skills
• Evaluate AML systems against internal and external benchmarks
• Develop decisioning layers to find optimal trade-offs between precision and recall
• Provide data-driven insights on potential outcomes under various scenarios
• Collaborate with operational teams to refine processes and ensure effective feedback integration
• Design and manage projects that utilise excess operational capacity
• Create systems providing in-depth insight to investigators on red flags and typologies
• Package algorithms into deployable libraries and transition them to production environments
• Implement and maintain scheduled processes for data gathering and model retraining
• Maintain production-grade Python services

Qualifications:

• Experience implementing, training, testing, and evaluating machine learning systems
• Strong Python knowledge
• Experience with statistical analysis and experiment design
• Strong product mindset with ability to work independently in a cross-functional environment
• Good communication skills and ability to articulate complex ideas to non-technical individuals
• Strong problem-solving skills with ability to refine problem statements and solve them

Additional Information: Wise is a diverse and inclusive company that values different backgrounds and perspectives.