Senior Machine Learning Engineer, Financial Crimes
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The role
Line 1: Design, develop, and deploy machine learning models to detect and prevent financial crimes, including money laundering and terrorist financing.
Line 2: Collaborate with product, engineering, and regulatory partners to ensure data can be leveraged effectively and solutions scale across markets.
Line 3: Build robust ML tooling and infrastructure, deploy models in production, and maintain comprehensive documentation for regulatory scrutiny.
Line 4: Identify new ML opportunities and requirements, staying current with advances in NLP, graph neural networks, and model explainability.
Line 5: Communicate complex technical concepts to non-technical stakeholders and lead cross-functional collaboration across globally distributed teams.
Line 6: Focus on delivering impact while upholding compliance, security, and data governance in a fast-paced environment.
Line 2: Collaborate with product, engineering, and regulatory partners to ensure data can be leveraged effectively and solutions scale across markets.
Line 3: Build robust ML tooling and infrastructure, deploy models in production, and maintain comprehensive documentation for regulatory scrutiny.
Line 4: Identify new ML opportunities and requirements, staying current with advances in NLP, graph neural networks, and model explainability.
Line 5: Communicate complex technical concepts to non-technical stakeholders and lead cross-functional collaboration across globally distributed teams.
Line 6: Focus on delivering impact while upholding compliance, security, and data governance in a fast-paced environment.
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