AML Data Analyst & ML Modeler

Jobgether; United States; Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Competitive compensation

Career development

International team

Continuous learning

Job summary

Jobgether in the United States seeks an AML Business Data Analyst to strengthen financial crime detection through advanced analytics. You will develop, validate, and optimize models for AML, sanctions, and fraud, using Python and SQL to handle large banking datasets.

Collaboration across technology, compliance, and governance teams is essential. You will communicate model performance to senior management and regulators, document methodology, and contribute to automated data processes and

Qualifications

• Master's or Ph.D. in Statistics, Economics, Finance, Mathematics, Data Science, or similar.
• Professional experience in banking or financial services with AML, sanctions, or fraud modeling.
• Strong understanding of financial crime risks and banking processes.
• Hands-on experience developing, validating, and evaluating ML classification models.
• Proficiency in Python and SQL for production-quality data analysis and modeling.
• Knowledge of model tuning, optimization, and evaluation methodologies.
• Experience processing large datasets and implementing automation.
• Familiarity with Git and GitHub version control.
• Strong communication and documentation skills.

Responsibilities

• Conduct quantitative analysis and model tuning across AML, sanctions, and fraud detection.
• Develop, validate, and optimize statistical and ML models to improve detection.
• Build and evaluate classifiers using logistic regression, XGBoost, LightGBM, RF.
• Apply tuning methodologies and optimization techniques to improve performance.
• Use Python and SQL for data analysis, feature engineering, and automation.
• Analyze large datasets to identify data quality issues and modeling gaps.
• Document methodologies, results, and metrics.
• Prepare reports and present findings to senior management and regulators.
• Collaborate with cross-functional teams to resolve modeling challenges.
• Maintain code quality and version control with Git/GitHub.

Skills

Python

SQL

ML modeling

Statistical analysis

XGBoost

LightGBM

Random Forest

Logistic Regression

Feature Engineering

Model Evaluation

Data Analysis

Git & GitHub

Communication

Education

Master's or Ph.D. in Statistics/Data Science/Quantitative field

Tools

Git

GitHub

Job description

Jobgether in the United States seeks an AML Business Data Analyst to strengthen financial crime detection through advanced analytics. You will develop, validate, and optimize models for AML, sanctions, and fraud, using Python and SQL to handle large banking datasets.

Collaboration across technology, compliance, and governance teams is essential. You will communicate model performance to senior management and regulators, document methodology, and contribute to automated data processes and