Become a member of the Global Banking and Markets (GBAM) Quantitative Finance and Analytics team within GBAM Stress Testing, which is responsible for quantifying, summarizing and reporting revenue, expense and balance sheet impacts from various economic scenarios on the Global Banking and Markets business for submission to the FED, OCC and Senior Management. The role focuses on both forecast administration (methodology development, management, documentation, communication) and enhancements to forecasting platform and analytics.
The Quantitative Finance and Analytics (QFA) team in Bank of America’s Global Banking and Markets (GBAM) Stress Testing team combines financial expertise, impactful analytics, and programming skills to quantify, summarize, and report revenue, expense, and balance sheet impacts for various economic scenarios across GBAM.
Some of the functions members of this team undertake include:
Investigating relationships between macro-economic variables and revenue streams to identify correlations that enable modeling of revenue streams
Utilizing programming to develop and build analytical tools to drive model development, correlation analysis, performance testing, and automated reporting
On at least a quarterly basis, all members run models, prepare summary results/materials, and present the results to Finance and Business partners for approval
Discuss forecasts derived using complex, statistical models with both technical audiences, including statisticians and modelers and non-technical audiences, and presents financial results in a non-technical manner to Heads of Business and Senior Management.
Working through the model validation process and maintaining process documentation, as required for internal governance and/or regulatory requirements
The results are used in deliverables for the CCAR (Comprehensive Capital Analysis and Review), the Federal Reserve’s annual assessment of the capital adequacy for the largest most complex U.S. banks, OCC’s equivalent DFAST requirement, and international Stress Testing (ICAAP, PRA, EBA) requirements as well. Both mid-year and year-end reporting is required and is completed through the compilation of FR Y-14A reporting templates and supporting documentation. In addition, analysis around forecasts is provided to key stakeholders at a higher frequency, including additional scenario testing, performance analysis, and attribution.
This is an excellent opportunity for growth, as this team interacts across all of GBAM’s business units, including Lines of Business, Finance, Risk and other support partners. The Quantitative Finance Analyst will assist in stakeholder engagement, forecast methodology development, and technological/analytics enhancements across the forecasting space.
Master's degree or equivalent in Economics, Finance, or a related quantitative field, and 2-5 years of experience with technical or quantitative projects in the financial services industry.
Experience in each of the following is considered an asset:
Programming in R or Python, with a special focus on time series modeling to support running econometric models;
Developing scripts/code to automate reports and produce dynamic visual analytics;
Performing CCAR Stress Testing and utilizing methodologies to project revenue and balance sheet through quantitative/qualitative models;
Using strong analytical, critical thinking and problem solving skills to lead or facilitate discussions across various levels of stakeholders/support partners to drive adoption of new technologies
Ability to manage multiple projects at the same team and influence decision-making across an array of stakeholders
Shift:1st shift (United States of America)
Hours Per Week:40
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