Bank of America Quantitative Finance Analyst in Charlotte, North Carolina

Job Description:

Bank of America's Wholesale Risk Analytics Operations team is looking for ahands-onQuantitative Finance Analyst (QFA) to be responsible for managing the production support, maintenance and ongoing monitoring and calibration of wholesale risk models. This can include data acquisition, technical modeling, full documentation of methodology and results. The QFA will also work with the implementation team to ensure that this critical function is performed correctly. The QFA will present results to and integrate with business partners and provide guidance to them on technical issues. Subject credit models serve as critical input to Global Banking and Markets (GBAM), Global Commercial Banking (GCB), Global Wealth and Investment Management (GWIM), and Consumer Banking lines of business (underwriting, pricing, approval, and credit monitoring) functions. Subject credit models are also integral to the capital management PD/EAD/LGD parameter quantification process and reporting (Basel 3 Risk Weighted Assets and Economic Capital), commercial asset quality forecasting (CCAR/DFAST stress testing), loan loss reserving and reporting (ALLL/IFRS9/CECL), risk appetite and limit setting.

A successful candidate will be a team player supporting and improving internal team functions ranging from scorecard development, methodology development, model process engineering, model impact analysis, and model management.

A successful candidate will integrate well with partners in Model Risk Management (MRM), Enterprise Credit and Operational Risk, Global Risk Analytics, Balance Sheet and Capital Management, Technology, Audit and Compliance as well as Federal Reserve and Office of the Comptroller of the Currency (OCC).

A successful candidate will have some hands on and related experience and demonstrated the following skills (not in priority order):

  • Clear and concise technical documentation

  • Knowledge in scorecard building or PD/LGD/EAD modeling for credit related products

  • PhD, MS or BS in engineering, statistics, operations research, economics, finance, physics or mathematics

  • Experience with SAS, SQL, R and other related software and hardware

  • Understanding of how quantitative methods can be applied to finance and banking

  • Fundamental understanding of micro and macroeconomic concepts

  • Proficient in project management, particularly in the development, implementation, application, andvalidation/back-testingof models or analytic processes.

A successful candidate demonstrates learning abilities and following behaviors (not in priority order):

  • Is respectful of and curious about what he/she does not know

  • Thinks holistically with business and economic intuition

  • Listens and learns about model uses, data analysis and sources, technology implementation, credit risk and business , regulation and regulatory guidance, macro/market/credit economics, accounting, capital, stress testing, allowance for loan lease losses

  • Executes and is over-prepared and under-whelmed

  • Integrates seamlessly across complex set of stakeholders, internal partners, external resources

  • Becomes aware and is flexible, adaptive, and proactive

  • Is compelling in verbal, non-verbal and writing and communicates with intention

Posting Date : 02/23/2018

Location :


  • United States

Travel : Yes, 5% of the time

Full / Part-time : Full time

Hours Per Week : 40

Shift : 1st shift

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