Bank of America is looking to solve business and technical problems related to quantitative analytics and complex modeling projects for specific business units or risk types, particularly in the area of financial crime modeling and analytics.
Requirements
- Strong Programming skills e.g. Python, SAS, SQL, or other languages
- Strong analytical and problem-solving skills
- Quantitative Development
- Risk Analytics
- Risk Modeling
- Technical Documentation
- Data Modeling
Responsibilities
- Leads the development of AML models to support business requirements and the enterprise's risk appetite collaborating with the Technology, Global Financial Crimes, and Model Risk Management teams
- 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
- Ability to work in a large, complex organization, and influence various stakeholders and partners
- Self-starter; Initiates work independently, before being asked
- Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others
- Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
- Effectively creates a compelling story using data; Able to make recommendations and articulate conclusions supported by data
