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Machine Learning Engineer (Modeling), Families Risk

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The role

Develop and deploy machine learning models to detect and prevent risky or abusive activity across a family-focused fintech product.
Operate in real time and at scale with ML Engineering teams to move models from design to production.
Collaborate cross-functionally with engineering, product, and operations to design safeguards and strengthen user trust.
Research emerging risks and behavioral patterns in financial activity to proactively shape policies and safeguards.
Mentor and support fellow modellers, contributing to the growth of the modelling capability.
Own solutions end-to-end with a high level of autonomy, from initial framing to monitoring and maintenance in production.

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