AML Business Data Analyst

Location: Remote, USA

Company

hirify.global is a global technology services and consulting company specializing in technology projects, software solutions, digital products, infrastructure, consulting, outsourcing, and implementation services.

What you will do

• Perform quantitative analysis and model tuning for sanctions, fraud, and AML use cases.
• Develop, validate, and optimize statistical and machine learning classification models to improve financial crime detection.
• Use Python and SQL for data analysis, feature engineering, statistical modeling, automation, and large-scale data processing.
• Investigate data quality issues, modeling gaps, and optimization opportunities, then compare performance using appropriate statistical measures.
• Document methodologies, results, metrics, and optimization activities; prepare reports and present findings to senior management, regulators, and interdisciplinary teams.
• Collaborate with business, technology, compliance, and model governance teams while maintaining code quality and version control.

Requirements

• Master’s or Ph.D. in Statistics, Economics, Finance, Mathematics, Data Science, or a related quantitative discipline.
• Experience in banking or financial services, preferably involving sanctions, fraud, or AML modeling.
• Strong understanding of model tuning methodologies, optimization techniques, statistical concepts, data science methodologies, and model performance evaluation.
• Knowledge of banking products, processes, systems, and financial crime risk.
• Hands-on experience developing and evaluating Logistic Regression, Multinomial Logit, XGBoost, LightGBM, and Random Forest models.
• Advanced proficiency in Python and SQL, including production-quality Python for data analysis, feature engineering, and statistical modeling.
• Experience with large datasets, automation, and data processing.
• Familiarity with Git or GitHub and strong quantitative, analytical, problem-solving, documentation, reporting, and communication skills.
• Ability to investigate and resolve data quality and modeling issues, collaborate across disciplines, and manage multiple priorities.

Culture & Benefits

• Remote, full-time position based in the USA.
• Work in a challenging and engaging environment with competitive compensation and benefits.
• Access career development, continuous learning, and growth opportunities.
• Join a diverse and inclusive organization with collaboration across global technology and consulting projects.
• Matrix has more than 17,000 employees worldwide and serves private- and public-sector customers across multiple industries.