7+ years of experience in model development, model validation, or model implementation within the financial industry;
Proficiency in statistical methods (e.g., linear regression, logistic regression, survival analysis, ARIMA) and programming languages (e.g., SAS, Python, R, SQL).
Experience in model development or model validation for any of the following domains : AML models, Fraud risk models, Fraud detection models, transaction monitoring model.
Responsibilities -
Design and develop AML models such as Transaction Monitoring, Customer Risk Rating (CRR), Name Screening, and Behavior Segmentation models.
Conduct independent reviews of AML models for conceptual soundness, performance, and compliance.
Perform data profiling, feature engineering, algorithm selection, and model tuning.