We are seeking talented and driven Data Scientist to join our growing Fraud & Analytics team. In this role, you will work at the intersection of data engineering, machine learning, and business policy development. You will play a key role in modernizing our fraud risk infrastructure, building AI/ML models from the ground up, and delivering actionable insights that protect our customers and business across a range of money services transactions including Wires, Check Cashing, Bill Payments, and Top-Ups.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
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AI/ML Model Development
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Design, develop, validate, and deploy machine learning models in Python across a range of fraud detection and transaction risk use cases.
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Own the full model lifecycle: feature engineering, model training, validation, deployment, and ongoing monitoring.
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Apply best practices for model governance, including documentation,
version control, and performance benchmarking. Business Rules & Policy Development.
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Conduct regular performance analysis of business rules within the fraud risk engine, identifying opportunities for optimization and improved detection accuracy.
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Work closely with risk and compliance stakeholders to develop current fraud prevention policies based on data-driven insights across money services transaction types.