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Senior Machine Learning Engineer, Financial Crimes

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The role

Design, develop, and deploy machine learning models to detect and prevent financial crimes, including money laundering and terrorist financing.
Collaborate with stakeholders, product engineering teams, and business partners to enable data-driven, scalable solutions within a regulatory program.
Produce and maintain thorough documentation of the ML program that can withstand regulatory scrutiny.
Proactively identify new ML opportunities and future needs for the team, driving roadmap and tooling at scale.
Lead by example by applying ML and software engineering best practices while mentoring others.
Stay current with ML developments, foster continuous learning, and apply new insights to improve detection and efficiency.

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