Bank of America Quantitative Finance Analyst in Charlotte, North Carolina
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), 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 and ongoing monitoring, 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 : 09/05/2017
Location : US-NC-Charlotte
Travel : Yes, 5% of the time
Full / Part-time : Full time
Hours Per Week : 40
Shift : 1st shift
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