Bank of America Senior Quantitative Finance Analyst - Charlotte in Charlotte, North Carolina
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.
Members of the team investigate relationships between macro-economic variables and revenue streams to identify correlations that enable modeling of revenues streams. Additionally, programming and other analytical tools are used to drive model development, correlation analysis, performance testing and the automation of reporting. On a quarterly basis, all members of the QFA team run models, prepare summary results/materials, and present the results to Finance and Business partners for approval. Also, the QFA team discusses 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. In addition, the QFA team helps work through the model validation process and maintains process documentation, as required for internal governance 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, and OCC’s equivalent DFAST requirement. Both mid-year and year-end reporting is required and is completed through the compilation of FR Y-14A reporting templates and supporting documentation.
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 Senior Quantitative Finance Analyst will assist in leading stakeholder engagement, forecast methodology development, and technological enhancements across the forecasting space.
Required skills :
Master's degree or equivalent in Economics, Finance, or a related quantitative field
3-5 years of experience with technical or quantitative projects in the financial services industry
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 models/qualitative approaches
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
Fixed Income experience a plus
Posting Date : 05/15/2018
Charlotte, NC, HEARST TOWER, 214 N TRYON ST,
- United States
Travel : No
Full / Part-time : Full time
Hours Per Week : 40
Shift : 1st shift
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