AML Data Analyst

Key Responsibilities: Perform quantitative analysis and model tuning across sanctions, fraud, and AML use cases Develop, validate, and optimize statistical and machine learning models to enhance detection accuracy Collaborate with cross-functional teams to address analytical and modeling challenges while documenting methodologies and results

Required Qualifications: Master's or Ph.D. in Statistics, Economics, Finance, Mathematics, Data Science, or a related quantitative discipline Experience in the banking or financial services industry, specifically in sanctions, fraud, or AML modeling Strong understanding of model tuning methodologies and performance evaluation techniques Hands-on experience with classification and machine learning models, including Logistic Regression and XGBoost Advanced proficiency in Python and SQL for data analysis and statistical modeling