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.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Responsibilities

• Conduct model performance testing, monitoring and data quality assessment.

• Undertake analytical research on model outcome and testing results, and model performance.

• Conduct ongoing model performance monitoring including sensitivity testing, back-testing, benchmarking, portfolio comparison and root-cause analysis.

• Create effective interactive summary visualization dashboards in Tableau to foster self-serve analytics.

• Identify risks and improvements to existing processes and technology architecture.

• Communicate analytical and research results as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, and technology.

• Perform risk modeling, ongoing model performance monitoring and risk analysis using programming tools such as SQL, Python, and SAS.

• Leverage proficiency in CCAR, CECL, PD/LGD/EAD models, regression analysis, and regulatory risk guidelines to quantify credit risk exposure, facilitate effective risk mitigating strategies, and comply with regulatory requirements.

• Use advanced programing tools including SAS, SQL, and Python to extract, analyze, and merge data from disparate systems, and perform deep analysis.

• Maintain and enhance complex data architecture, including modeling and data science tools and libraries and data warehouses.

• Utilize data analytics and visualization tools including Tableau and Python to present analytical results and automate risk reporting processes.

• Remote work may be permitted within a commutable distance from the worksite.

Required Skills & Experience

• Master's degree or equivalent in Finance, Statistics, Mathematics, or related; and

• 3 years of experience in the job offered or a related quantitative occupation.

• Must include 3 years of experience in each of the following:

• Performing risk modeling, ongoing model performance monitoring and risk analysis using programming tools such as SQL, Python, and SAS;

• Leveraging proficiency in CCAR, CECL, PD/LGD/EAD models, regression analysis, and regulatory risk guidelines to quantify credit risk exposure, facilitate effective risk mitigating strategies, and comply with regulatory requirements;

• Using advanced programing tools including SAS, SQL, and Python to extract, analyze, and merge data from disparate systems, and perform deep analysis;

• Maintaining and enhancing complex data architecture, including modeling and data science tools and libraries and data warehouses; and,

• Utilizing data analytics and visualization tools including Tableau and Python to present analytical results and automate risk reporting processes.

If interested apply online at www.bankofamerica.com/careers or email your resume to bofajobs@bofa.com and reference the job title of the role and requisition number.

Employer: Bank of America N.A.

Shift:

1st shift (United States of America)

Hours Per Week:

40