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.

• Develop quantitative framework to measure the Financed Emissions, including generation and presentation of analyses to senior stakeholders to drive target setting and portfolio strategy.
• Develop visualization and analytical tools that supports the Enterprise's risk appetite. 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. Develop actionable analytics and early warning indicators.
• Analyze and evaluate large and complex economic and financial datasets by utilizing SQL, Oracle PL/SQL, Informatica, Autosys, and UNIX.
• Develop and evaluate quantitative modeling and analytics projects in risk analytics and loss forecasting leveraging Oracle, SQL, Hadoop/HIVE, Python, Spark, and Autosys.
• Implement advanced high-performance Python code for large-scale distributed computing environments of Apache Spark, Hadoop/HIVE to develop scalable and quantitative models.
• Employ data analytics and visualization tools like Alteryx, Tableau, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for management.
• Support model development and advancing analytical capabilities by partnering with upstream and downstream partners and technology staff.
• Remote work may be permitted within a commutable distance from the worksite.

• Bachelor's degree or equivalent in Engineering (any), Computer Science, Statistics, Mathematics or related; and
• 5 years of progressively responsible experience in the job offered or a related quantitative occupation.
• Must include 5 years of experience in each of the following:
• Analyzing and evaluating large and complex economic and financial datasets by utilizing SQL, Oracle PL/SQL, Informatica, Autosys, and UNIX;
• Developing and evaluating quantitative modeling and analytics projects in risk analytics and loss forecasting leveraging Oracle, SQL, Hadoop/HIVE, Python, Spark, and Autosys;
• Implementing advanced high-performance Python code for large-scale distributed computing environments of Apache Spark, Hadoop/HIVE to develop scalable and quantitative models;
• Employing data analytics and visualization tools like Alteryx, Tableau, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for management; and,
• Supporting model development and advancing analytical capabilities by partnering with upstream and downstream partners and technology staff.