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.
• Develop new models, analytic processes or systems approaches.
• Create documentation for all activities and work with technology team to design any system to run models developed.
• Develop quantitative framework to measure the Bank's Financed Emissions, including generation and presentation of analyses to senior stakeholders to drive target setting and portfolio strategy.
• Prepare specialized content for high profile senior Risk, Line of Business, Board, and regulator requests.
• Connect model driven analytics and value additive business and risk applications.
• Analyze and evaluate large and complex economic and financial datasets with analytical tools Python, SQL and R.
• Develop and evaluate quantitative modeling and analytics projects in risk analytics and loss fore casting leveraging tools R and Python.
• Implement advanced high-performance Python code for large-scale distributed computing environments Apache Spark, Hadoop/HIVE to develop scalable and quantitative models.
• Employ data analytics and visualization tools Alteryx, Tableau and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for the management.
• Remote work may be permitted within a commutable distance from the worksite.

• Master's degree or equivalent in Statistics, Mathematics, Information Technology, Computer Science, 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:
• Analyzing and evaluating large and complex economic and financial datasets with analytical tools Python, SQL and R;
• Developing and evaluating quantitative modeling and analytics projects in risk analytics and loss forecasting leveraging tools R and Python;
• Implementing advanced high-performance Python code for large-scale distributed computing environments Apache Spark, Hadoop/HIVE to develop scalable and quantitative models; and,
• Employing data analytics and visualization tools Alteryx, Tableau and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for the management.