AML Data Analyst
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Job Summary
Seeking an experienced AML Data Analyst, the full-time position will focus on analyzing complex banking data and developing financial crime detection models using advanced Python and SQL skills.
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
Complete Job Description
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