At Bank of America, the Global Financial Crimes Modeling and Analytics team is responsible for enterprise-wide financial crime model development and implementation, ongoing performance monitoring and optimization, data usage, and research and development utilizing advanced analytical tools and systems. This role will support the development and maintenance of AML models, conduct quantitative analytics, and ensure compliance with regulatory guidelines.
Requirements
- Strong Programming skills e.g. R, Python, Spark, SAS, SQL, or other languages
- 3+ years of model/quantitative development experience
- CoPilot experience is a plus
- Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
- Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
- Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
- Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches
Responsibilities
- Responsible for performing more complex analysis and supporting development of AML model development.
- Support AML Modeling with Ad-hoc Analytics, Distribution Analysis, Sensitivity Analysis
- Support GFC with additional data analytics for drafting Business Requirement Document
- Lead analytical support for various interim compensating control initiatives
- Conduct and support below-the-threshold sampling
- Responsible for independently conducting quantitative analytics and modeling projects.
- Responsible for developing new models, analytic processes or systems approaches.
Other
- Master's degree or relevant experience
- Written Communications
- Effectively creates a compelling story using data
- Able to make recommendations and articulate conclusions supported by data
- Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
