AI Anti-Money Laundering Model Developer

Mendra Intelligence

Remote · $130k – $160k / year · Full-time · Posted 5 months ago

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About the role

Banks file 4 million Suspicious Activity Reports per year in the US alone, and 95% of them are false positives generated by rule-based transaction monitoring systems. Each false positive costs $25-50 in analyst investigation time. Our ML models replace those rules with learned patterns, cutting false positive rates by 70% while catching more actual suspicious activity. The regulatory environment makes this uniquely challenging. Models must be explainable — regulators won't accept a black box that says "this transaction is suspicious" without showing why. You'll build models that balance detection performance with interpretability, generate evidence summaries that satisfy compliance officers, and maintain documentation that passes regulatory examination. This role sits at the intersection of ML engineering and financial compliance. You'll work with our model risk management team who validate every model before deployment, and our client-facing analysts who translate model outputs into regulatory filings. The ML team is six people; you'll be the most senior model developer.

Fully remote.

Responsibilities

Develop ML models for transaction monitoring with high sensitivity and low false positive rates
Ensure model explainability sufficient for regulatory review
Generate evidence summaries that support analyst investigation workflows
Maintain model documentation for regulatory examination readiness
Collaborate with model risk management on validation and governance
Monitor deployed models for performance drift and recalibrate as needed

Requirements

6+ years in ML with experience in financial crime, risk, or compliance domains
Deep understanding of classification under extreme class imbalance
Experience with explainable AI techniques: SHAP, LIME, or attention-based methods
Strong Python, SQL, and distributed computing skills
Knowledge of BSA/AML regulations and model risk management frameworks