Bank of America is looking to solve problems related to quantitative analytics and complex modeling projects for specific business units or risk types. This includes leading the development of new models, analytic processes, or system approaches, and ensuring these models are effectively designed, documented, and implemented to support business requirements and risk appetite.
Requirements
- 8+ years of experience in model development, statistical methods, forecast methods, data analytics, or quantitative research
- Experience in data science and analysis, with strong analytical skills
- Programing skills (SQL, Python, R, LaTeX)
- Experience with CECL, DFAST, CCAR forecast methodologies
- Quantitative Development
- Risk Analytics
- Risk Modeling
Responsibilities
- 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
- Leads the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
- Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
- Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
- Leads and provides 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
- Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
- Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches
Other
- Graduate degree in quantitative discipline (e.g., Mathematics, Economics, Engineering, Finance, Physics)
- Expert communication skills, experience with executive presence, presenting to senior leaders
- Experience in Risk, Credit, Collections or Financial Operations with demonstrated track record of generating and communicating insights which improve performance and understanding
- History of driving change and advancing the status quo via strategic thinking across forecasting, analytics, or automation of operations and controls
- Demonstrated ability to organize and work collaboratively across multiple teams and functions
