Are you an experienced BSA/AML professional passionate about leveraging data analytics and modeling to combat financial crime? We’re seeking a Senior Manager to lead our Financial Crimes Analytics team, focusing on BSA/AML and Sanctions modeling. This is an exciting opportunity to build and scale innovative analytical solutions that protect our customers and the financial system.
What you’ll do:
- Lead, mentor, and grow a team of financial crimes data scientists and analysts.
- Develop, implement, and optimize BSA/AML and Sanctions detection models (e.g., transaction monitoring, sanctions screening, customer risk rating, suspicious activity reporting, etc.).
- Drive the end-to-end model lifecycle, including data acquisition, feature engineering, model development, tuning, validation, implementation, and ongoing monitoring.
- Collaborate with cross-functional teams (e.g., product, engineering, compliance operations, risk management) to integrate models into existing systems and processes.
- Develop and maintain comprehensive documentation for models, methodologies, and analytical processes, ensuring compliance with regulatory expectations (e.g., SR 11-7, OCC Handbook).
- Present complex analytical findings and recommendations to senior management and regulatory bodies.
- Stay abreast of emerging trends, regulatory changes, and industry best practices in financial crime analytics, machine learning, and AI.
- Contribute to the strategic vision for the Financial Crimes Analytics function, identifying opportunities for innovation and process improvements.
Who you are:
- 8+ years of experience in BSA/AML and Sanctions analytics, modeling, or related financial crimes risk management roles, with at least 3 years in a leadership/management capacity.
- Strong understanding of BSA/AML and OFAC Sanctions regulations, including FinCEN guidance, FFIEC Exam Manual, and global sanctions regimes.
- Proven expertise in developing, validating, and implementing BSA/AML and Sanctions models using statistical methods, machine learning, and AI techniques.
- Proficiency in programming languages commonly used for data analysis (e.g., Python, R, SQL) and experience with big data technologies (e.g., Spark, Snowflake, Databricks).
- Experience with regulatory model risk management frameworks (e.g., SR 11-7, OCC Handbook) and internal/external audits.
- Excellent analytical, problem-solving, and communication skills, with the ability to translate complex data into actionable insights.
- Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering) or equivalent practical experience. Master’s degree preferred.
- CAMS, CFE, or similar professional certification is a plus.
Benefits:
We’re a small but mighty team, working remotely from all corners of the US. You’ll be joining a diverse, talented, and passionate group of people who are committed to making a difference. We offer a competitive salary, equity, and a comprehensive benefits package. We believe in work-life balance and offer flexible working hours. If you’re looking for a challenging and rewarding role where you can make a real impact, we encourage you to apply!
We believe in building a diverse and inclusive workplace, and we encourage applications from all qualified individuals regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
