Senior Fraud and AML Model Developer

Senior

•First Line of Defense, including Model Development, Model Monitoring, Recalibration, Model Tuning, Above-the-Line Testing, Below-the-Line Testing.

•Design, develop and implement statistical, machine learning and rule-based models to detect fraud and financial crimes. Models will be used to detect Synthetic Fraud, Identity Theft Fraud, First Party Fraud, Authorized Fraud, etc.

•Build and maintain AML detection and transaction monitoring models, including rule-based and predictive analytics solutions. Models will identify common AML patterns such as Layering and Terrorist Financing.

•Develop models for Watchlist Screening to identify potential matches in customer and transaction data. Integrate OFAC, International Sanctions, Politically Exposed Persons, Adverse Media Lists, etc. into model workflows.

•Engineer meaningful robust features from raw transaction data to enhance model accuracy. Analyze and evaluate  large datasets to identify suspicious patterns and Fraud/AML typologies.

•Implement the models and solutions of leading vendor such as Actimize, Experian, Socure,Verafin, etc. within pipelines.

•Ensure all model development follows industry best practices and regulatory requirements such as BSA, USA PATRIOT Act, OFAC, FinCEN, FTC, OCC.

•First Line of Defense, including Model Development, Model Monitoring, Recalibration, Model Tuning, Above-the-Line Testing, Below-the-Line Testing.

•Design, develop and implement statistical, machine learning and rule-based models to detect fraud and financial crimes. Models will be used to detect Synthetic Fraud, Identity Theft Fraud, First Party Fraud, Authorized Fraud, etc.

•Build and maintain AML detection and transaction monitoring models, including rule-based and predictive analytics solutions. Models will identify common AML patterns such as Layering and Terrorist Financing.

•Develop models for Watchlist Screening to identify potential matches in customer and transaction data. Integrate OFAC, International Sanctions, Politically Exposed Persons, Adverse Media Lists, etc. into model workflows.

•Engineer meaningful robust features from raw transaction data to enhance model accuracy. Analyze and evaluate  large datasets to identify suspicious patterns and Fraud/AML typologies.

•Implement the models and solutions of leading vendor such as Actimize, Experian, Socure,Verafin, etc. within pipelines.

•Ensure all model development follows industry best practices and regulatory requirements such as BSA, USA PATRIOT Act, OFAC, FinCEN, FTC, OCC.

•Advanced degree in Math, Statistics, Economics or any other Analytical disciplines.•Any Graduate + MBA in finance with relevant experience/exposure.•Additional certifications: Professional Certification such as CAMS, FRM, CFA preferred.

Experience Level

Senior Level