Build and maintain fraud detection ML models and financial risk products with end-to-end ownership. Requires 4+ years experience (or 6+ with Masters), advanced degree, strong ML/stats skills, production coding, and domain interest in fraud/identity.
200k – 240k/yr
Remote4+ YOEML Engineering
About the role
Responsibilities
Develop and maintain fraud detection models through full lifecycle: data acquisition, featurization, labeling, training, experimentation, productionalization, monitoring.
Build foundational modeling for expanding Fraud and Financial Risk products.
Research new fraud types and develop identity verification products.
Achieve success through iteration, new data integration, inventive feature engineering.
Write production-ready code for real-time decisions.
Design, perform, present analyses for data acquisition, product development, risk ops, marketing, sales.
Collaborate with engineering, risk ops, data teams for data access and quality.
Requirements
4+ years relevant experience & PhD or 6+ years & Masters.
Proven track record solving complex business problems with DS/ML.
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