Lead Data Scientist – AML Handling

Overview

Lead AI-driven AML capabilities at Wise, shaping the intelligence system powering risk mitigation. You will architect robust AI solutions, automate operational workflows, and build evaluation pipelines to reduce financial crime while supporting scale. You’ll guide technical strategy, mentor peers, and deploy production-grade models that augment human decision-making. This role offers impact across global operations and a chance to push frontier GenAI/LLM in financial crime prevention.

Pay / Benefits

• Stock options in a profitable company
• Hybrid working model
• Annual personal development budget
• Visa and relocation support

Responsibilities

• Develop and deploy AI models to automate case summaries, red flag generation, risk classifications, and document requests within EDD workflows
• Create labeling taxonomies with SMEs, build evaluation datasets, and implement automated evaluation harnesses
• Lead prompt optimization experiments (few-shot, chain-of-thought, context ordering) to reduce hallucinations and drift
• Design shadow testing and monitoring to safely evaluate prompts at scale and track data/output drift
• Own production pipelines with production-ready Python services and maintain code quality under pressure to ship value
• Implement human-in-the-loop architectures ensuring final decisions remain with human operators
• Analyze upstream data to design strategies that deflect financial crime before reaching operations
• Provide technical leadership and mentorship, shaping AI governance and architectural decisions

Key requirements

• Experience building, training, testing, and evaluating ML systems
• Strong Python knowledge; familiarity with OOP is a plus
• Knowledge of GenAI/LLM solutions, evaluation harnesses, and prompt engineering
• Experience with statistical analysis, experiment design, and failure mode analysis in LLM systems
• Product mindset and ability to work across cross-functional teams
• Good communication skills to convey technical concepts to SMEs
• Strong problem-solving skills to refine problems and devise solutions

• communication
• problem solving
• independence
• Machine Learning systems development
• GenAI / LLM solutions
• Automated evaluation harnesses

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