onsite
Financial Crimes Model Analytics Manager - Truist
Software Engineer
Lead the development and enhancement of predictive models to detect financial crimes, leveraging Python, machine learning, and advanced statistical techniques to protect assets and ensure regulatory compliance.
About the role
Key Responsibilities
- Design, build, and maintain machine learning models for fraud detection and financial crime analytics.
- Collaborate with cross‑functional teams to define data requirements, feature engineering, and model validation strategies.
- Analyze large datasets using SQL and Python to uncover patterns, anomalies, and risk indicators.
- Implement model monitoring, performance tracking, and continuous improvement processes.
- Communicate findings and recommendations to stakeholders through clear visualizations and reports.
Requirements
- 5+ years of experience in data science or analytics within financial services or compliance.
- Experience with data visualization tools (Tableau, Power BI, or equivalent).
- Excellent problem‑solving skills and ability to translate complex data into actionable insights.
Skills
pythonmachine learningsqldata analysis