Salary
💰 $90,000 - $120,000 per year
About the role
- Conduct quantitative modeling and analytics of financial crimes under manager’s supervision
- Data identification and gathering; compile and evaluate large sets of data to assess quality and determine suitability for model building
- Select methodologies/techniques, develop and maintain internal models, and configure/test vendor solutions
- Assess model performance, ensure conceptually sound design and proper implementation, and support validation and review
- Document model development process and outcomes and perform ongoing monitoring
- Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g., reducing false positives
- Collaborate with compliance, technology, and risk partners and proactively develop technical skills and business knowledge
Requirements
- Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines
- At least 2+ years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics
- 1+ year with Master’s or Ph.D. (alternative experience if higher degree)
- Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and solutions
- Hands-on work experience with statistical coding in SAS and/or Python
- Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing
- Knowledge of financial crime regulatory requirements, technology, and data analysis best practices
- Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience