Requirements

• Hands on experience in data science with a strong focus on financial crime, AML, or fraud detection, and a demonstrated ability to lead teams while remaining an active hands‑on contributor
• Strong track record of delivering production machine learning models in complex, large‑scale environments, with the ability to operate across the full lifecycle from problem framing through deployment and performance evaluation
• Strong programming proficiency in Python, with hands‑on experience working with large‑scale datasets and distributed data platforms
• Highly autonomous and outcome‑focused, with the ability to operate effectively in ambiguous environments and influence across both technical and non‑technical stakeholders
• Strong stakeholder management skills, with proven ability to work effectively across Product and Experience leading engineering teams and translating complex technical work into clear direction and outcom...