F&M's Enterprise Risk Management (ERM) needs to enhance regulatory compliance monitoring, streamline processes, and strengthen risk reporting through data analytics and automation.
Requirements
- Strong proficiency with Python, SQL, Power BI and data warehouses.
- Experience with Verafin FRAML, including administration and/or model tuning/calibration and system support.
- Knowledge of regulatory frameworks: BSA/AML, CRA, Fair Lending, MRM (SR 11-7 / OCC 2011-12)
- CAMS Certification preferred but not required.
- Proficient in Microsoft Excel, Word, Outlook.
Responsibilities
- Build data pipelines, analytics models, and dashboards that transform complex risk and compliance datasets into actionable insights.
- Use Python to automate recurring compliance tasks (data quality checks, reconciliation, monitoring scripts).
- Use Python to perform statistical analysis (alert rate, false positive ratio, model performance trends).
- Use Python to conduct anomaly detection, trend analysis and pattern recognition to enhance AML and fraud insights.
- Develop and maintain Power BI dashboards to track production for Verafin (alerts, cases, EDDs, SARs).
- Create interactive compliance and risk reports (BSA/AML, Fair Lending, CRA) to support regulatory examinations and management reporting.
- Utilize enterprise data warehouse tools to aggregate, validate, and reconcile data from multiple systems.
Other
- Clear understanding of the English Language (Spoken & Written)
- Critical Thinking, Judgment & Problem-Solving Skills
- Ability to respectfully communicate with supervisors and co-workers
- Bachelor’s degree in data analytics, information systems, finance or related field.
- 5+ years of experience in risk data analytics, such as BSA/AML, risk and compliance analytics
