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.

• Support key regulatory model testing, implementation, ongoing performance monitoring and MRM documentation.
• Use data assets to gain insights into current process models.
• Process, cleanse and verify the integrity of data used for analysis.
• Research and identify the data gaps, develop and implement remediation plans and assess the model outcome impact.
• Perform data mining, investigation and transformation.
• Utilize SQL to curate large volumes of data, perform statistical data analysis and data engineering.
• Implement advanced high-performance Python code for large-scale distributed computing environments using multiprocessing in Python.
• Perform data mining, data processing and data analytical and data visualization dashboards using SAS, Python and Tableau to gain business insight from the data.
• Utilize Data warehousing, Data analytics, SQL, SAS and Python to develop and enhance Credit Risk Data products.
• Design, test, and implement tactical data solutions using SAS, SQL, Data warehousing, and UNIX shell scripting for building analytical models.
• Remote work may be permitted within a commutable distance from the worksite.

• Master's degree or equivalent in Statistics, Mathematics, Business Analytics, Information Systems 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:
• Utilizing SQL to curate large volumes of data, perform statistical data analysis and data engineering;
• Implementing advanced high-performance Python code for large-scale distributed computing environments using multiprocessing in Python;
• Performing data mining, data processing and data analytical and data visualization dashboards using SAS, Python and Tableau to gain business insight from the data;
• Utilizing Data warehousing, Data analytics, SQL, SAS and Python to develop and enhance Credit Risk Data products; and,
• Designing, testing, and implementing tactical data solutions using SAS, SQL, Data warehousing, and UNIX shell scripting for building analytical models.