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.

• Apply quantitative models and techniques in order to address and resolve concrete financial problems.
• Perform balance sheet management, credit risk quantification, financial engineering, quantitative financial modeling, and risk review.
• Develop emerging risk assessments, analyzing credit risk scenarios, as well as modeling some of our key risk factors.
• Conduct research and analysis to provide a micro view of risk in a particular business line and a macro view of risk for the bank as a whole.
• Assess market trends and providing quantitative data for internal partners.
• Apply quantitative knowledge to specific financial challenges and projects specific to business alignment.
• Implement solutions applying both qualitative and quantitative methods.
• Analyze and assess large, complex financial dataset with programming tools such as SQL and R.
• Develop and analyze statistical models such as linear regression, auto egression, or logistic regression to assess model diagnostic and model performance.
• Generate statistical analysis to support stress testing, credit risk management, regulatory examinations.
• Utilize econometric and Machine Learning modeling techniques to assess test results and improve model performance.
• Assess model governance requirements and coordinating deliverables across a broader team to adhere to regulatory requirements.

• Master's degree or equivalent in Finance, Statistics, Mathematics, Financial Engineering, 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:
• Analyzing and assessing large, complex financial dataset with programming tools such as SQL and R;
• Developing and analyzing statistical models such as linear regression, auto regression, or logistic; egression to assess model diagnostic and model performance;
• Generating statistical analysis to support stress testing, credit risk management, and regulatory examinations;
• Utilizing econometric and Machine Learning modeling techniques to assess test results and improve model performance; and,
• Assessing model governance requirements and coordinating deliverables across a broader team to adhere to regulatory requirements.