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.

• Assist in establishing the risk governance structure for the line of business, and provide risk advice and counsel.
• Contribute to the establishment of risk policies, limits, standards, controls, metrics and thresholds within the defined corporate standards.
• Provide effective review and challenge of Treasury liquidity risk and activities, including as appropriate new product review, portfolio monitoring/controls, forecasting, internal liquidity risk stress-testing modelling, risk metrics design/calibration.
• Contribute to the various Liquidity Model Risk validation activities (incl. OMR, MDR, etc.), Independent Assessment (IA), Recovery and Resolution Plan and playbooks review.
• Utilize complex database systems for data querying and analysis, in-depth examination of datasets and critical insights into financial performance.
• Use programming languages including Python and Excel-VBA for process automation and report generation to optimize workflow and facilitate data-driven decision making.
• Create insightful and dynamic reports and enhance analytical capabilities using data visualization and analytical tools.
• Present and influence stakeholders and senior management with data driven insights to support pro-active risk management.
• Remote work may be permitted within a commutable distance from the worksite.

• Master's degree or equivalent in Finance, Mathematics, Statistics, Analytical Finance 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:
• Utilizing complex database systems for data querying and analysis, in-depth examination of datasets and critical insights into financial performance;
• Using programming languages including Python and Excel-VBA for process automation and report generation to optimize workflow and facilitate data-driven decision making;
• Creating insightful and dynamic reports and enhancing analytical capabilities using data visualization and analytical tools; and,
• Presenting and influencing stakeholders and senior management with data driven insights to support pro-active risk management.