Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

• Conduct quantitative analytics and modeling projects, specifically scorecard building and PD/LGD/EAD modeling for credit-related projects.
• Develop new models, analytic processes or systems approaches.
• Create documentation for all activities and work with Technology staff in design of any system to run models developed.
• Support and improve internal team functions ranging from scorecard development, methodology development, model process engineering, model impact analysis, and model management.
• Integrate with partners in Model Risk Management (MRM), Enterprise Credit and Operational Risk, Global Risk Analytics, Balance Sheet and Capital Management, Technology, Audit and Compliance as well as Federal Reserve and Office of the Comptroller of the Currency (OCC).
• Develop regression and simulation wholesale credit risk models which support risk rating process, portfolio management, and regulatory capital using SAS and Python.
• Perform data quality check and import data onto Hadoop database by running SQL queries.
• Produce model technical documentation as well as model ongoing monitoring reports using LaTex.
• Utilize SAS and Python to execute ongoing model monitoring for wholesale capital and scorecard models.
• Analyze credit performance and financial statement data identifying relevant risk drivers and portfolio trends.
• Remote work may be permitted within a commutable distance from the worksite.

• Master's degree or equivalent in Statistics, Mathematics, Computer Science, Information Technology, or related; and
• 2 years of experience in the job offered or a related quantitative occupation.
• Must include 2 years of experience in each of the following:
• Developing regression and simulation wholesale credit risk models which support risk rating process, portfolio management, and regulatory capital using SAS and Python;
• Performing data quality check and importing data onto Hadoop database by running SQL queries;
• Producing model technical documentation as well as model ongoing monitoring reports using LaTex;
• Utilizing SAS and Python to execute ongoing model monitoring for wholesale capital and scorecard models; and,
• Analyzing credit performance and financial statement data identifying relevant risk drivers and portfolio trends.