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Quantitative Finance Analyst Job Details

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Employer:  Bank of America
Job Ref No:  18027379
Job Title:  Quantitative Finance Analyst
Sector:  Asset Management
Expertise:  Quant
Job Description:

The Quant Team in Bank of America's Global Banking and Markets Stress Testing team combines financial expertise and programming skills to quantify, summarize, and report revenue, expense and balance sheet impacts from various adverse economic scenarios. Members of the team investigate relationships between macro-economic variables revenue streams to identify statistically significant relationships to enable modeling of those revenue streams in various economic environments. They develop complex program models to extract data and use databases and external data sources to provide statistical and financial modeling. On a quarterly basis, all members of the Quant Team run models, prepare summary results and presentation materials, and present the results to Finance and Business partners for approval. Also, the Quant 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 Quant 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 and 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.

Required skills :

Experience in each of the following is considered an asset:
  • Performing programming in SAS or R, with a special focus on time series modeling to support running econometric models
  • Developing scripts/code to automate data reports
  • 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

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

Employment Type:  Full Time
Region/Country:  Americas, United States
States/Counties:  North Carolina
City:  Charlotte

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