AML Business Data Analyst
Core
Develop, validate, and optimize statistical and machine learning models for sanctions, fraud, and Anti-Money Laundering (AML) use cases to improve financial crime detection accuracy.
Role type
Senior IC machine-learning engineer (financial crime/AML)
Builds
Production classification models and detection systems for financial institutions
Domain
Banking / Financial Crime / Regulatory Compliance
Deliverable
production ML models
Required skills
Python, SQL, Logistic Regression, Multinomial Logit, XGBoost, LightGBM, Random Forest, Model Tuning, Feature Engineering, Statistical Modeling
Preferred skills
Banking industry experience, Sanctions/Fraud/AML domain knowledge, Version control (Git/GitHub)
Technologies
Python, SQL, XGBoost, LightGBM, Random Forest, GitHub
Responsibilities
Develop and optimize classification models for AML, fraud, and sanctions; Perform quantitative analysis and model tuning; Evaluate model performance using statistical measures; Document methodologies and results; Prepare reports for senior management and regulators; Collaborate with compliance and governance teams.
Seniority
Senior, hands-on IC
