Bank Of America Senior Quantitative Finance Analyst 

United States, North Carolina, Charlotte 

720493499

Overview of Consumer Model Development
The team places strong emphasis on delivering world class quantitative solutions for Front Line Unit (FLU) model owners and stakeholders through a disciplined and iterative development process. The team has responsibilities across a number of areas:• Quantitative Modeling – Develop and maintain risk and capital Models and Model Systems across Retail and GWIM product lines. Models and Model Systems provide insight into many risk areas, including loan default, exposure at default (EAD), loss given default (LGD), delinquency, prepayment, balances, pricing, risk appetite, revenues and cash flows.
• Quantitative Development – Architect, implement, maintain, improve and integrate quantitative solutions on strategic GRA platforms. Outputs include GRA libraries that perform consumer risk model calculations, analytical tools, processes and documentation. Partner in defining, adopting, and executing GRA’s technical strategy.
• Risk and Capital Management Capabilities – Build best in class quantitative solutions that enable the Retail and GWIM lines of business to effectively manage risk and capital, through the application of the disciplined BAU development process that includes extensive interaction with the FLU model owners and stakeholders throughout the quantitative lifecycle.
• Infrastructure – Partner in driving forward the infrastructure to support the goals of GRA through code efficiencies, and expansion of quantitative capabilities to better leverage infrastructure and computational resources.
• Documentation – Deliver concise, quantitative documentation to inform stakeholders, meet policy requirements, and enable successful engagement in regulatory exams (e.g., CCAR, CECL) via automated, modularized, and standardized documentation and presentations.

* Masters or PhD in Statistics, Economics, Computer Science, or similar discipline

* Minimum 5 years relevant experience
• Develop quantitative solutions on large-scale datasets end-to-end including data extraction, data processing, variable selection, application of statistical and AI/ML algorithms, and performance and sensitivity testing.
• Ability to work in a large, complex organization, and influence various stakeholders and partners
• Self-starter; Initiates work independently, before being asked
• Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences;
• Strong programming skills in Python, R, or similar language
• Experience in complex data processing and software development lifecycle with high code quality and efficiency
The ideal candidate will possess the following skills and experience:
• Past consumer credit experience to support loss forecasting (CCAR/CECL), risk management, and business strategy is a plus
• Past software engineering and development experience is a plus
• Quantitative thought leadership with ability to execute, strong documentation skills
• Experience with data analytics tools, such as Tableau
• Demonstrated ability to innovate and drive action to achieve results
• Effectively presents analytical finding and quantitative conclusions to influence senior leaders

Skills:

• Critical Thinking
• Quantitative Development
• Risk Analytics
• Risk Modeling
• Technical Documentation
• Adaptability
• Collaboration
• Problem Solving
• Risk Management
• Test Engineering
• Data Modeling
• Data and Trend Analysis
• Process Performance Measurement
• Research
• Written Communications

1st shift (United States of America)