AI Purchase Order Fraud Detection Developer

About the role

Responsibilities

• Engineer behavioral and relational features from vendor registration, invoice patterns, and approval histories
• Train fraud risk scoring models on confirmed fraud cases and audit-identified near-miss transactions
• Implement vendor relationship network analysis detecting collusion indicators between buyers and suppliers
• Build detection alert workflow integrating fraud scores into procurement approval decision flows
• Develop fraud pattern library capturing known fraud typologies as detection rule anchors
• Monitor false positive rates ensuring fraud flags don't disrupt legitimate procurement operations

Requirements

• 3+ years in data science or ML with fraud detection, financial audit, or procurement analytics experience
• Strong Python, SQL, and scikit-learn skills for structured transaction data modeling
• Understanding of procurement fraud typologies, AP controls, and audit investigation methods
• Experience building risk scoring systems integrated into operational approval workflows
• Ability to work with internal audit teams on fraud case investigation and model validation

Benefits

• Fully remote with flexible schedule
• Health and dental insurance
• $3,000 annual professional development budget
• 401(k) with match
• Equity options

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