Quantitative Analyst at BB&T
JOB DESCRIPTION:
The Quantitative Credit Risk Analytics (QCRA) team within BB&T's Risk Management Organization is seeking a Quantitative Analyst with duties ranging from retail scorecarding model development, documentation, and general analysis including benchmarking and performance monitoring. QCRA also develops, maintains and monitors statistically-based models for advanced internal ratings-based (AIRB) risk parameterization (PD, LGD, EAD), covering each of BB&T's retail loan portfolios.
DESCRIPTION/RESPONSIBILITIES
Apply SAS/programming development skills along with mathematical/statistical and optimization methods to develop quantitative models supporting scorecards for risk assessment or estimation of capital requirements under the AIRB approach. Analyst responsibilities include developing the models consistent with internal requirements, performing back testing and sensitivity testing, supporting the model validation and implementation processes, and performing ongoing monitoring. Writing skills are crucial as the candidate will document their own work, within their SAS code as well as in comprehensive model documentation and presentations.
The individual will work predominantly within QCRA, but will also partner with representatives from the finance organization and the line of business to develop models capturing key factors driving default, loss severity, recovery, and exposure at default.
The successful candidate must demonstrate a combination of academic aptitude, quantitative skills, strategic and creative thinking and satisfactory written and oral communications skills.
The ideal candidate will have a predominant background in a quantitative discipline in applied mathematical, statistical and computational methods. Additionally, skills or experience in the fields of financial mathematics, retail credit analysis and accounting/finance are a plus.
The individual will, from time to time, be required to work on several projects at once as well as work effectively both individually and as part of a team. The ideal candidate will have the ability to evaluate large quantities of customer, financial market, and industry information in a database framework, and to communicate with senior business leaders and executives in a high-energy environment.
Proficiency with SAS and SQL is required subsidized with knowledge of MS Excel, MS Word and MS PowerPoint (e.g,. MS Office). The candidate must hold a minimum of an MA/MS in a quantitative or scientific discipline such as statistics, operations research, mathematics, or a similar discipline and share common characteristics: assertiveness; attention to detail; initiative; leadership; strong work ethic; team focus.
| Job Role | Quantitative Credit Risk Analytics within BB&T's Risk Management Organization |
| Job Posting Title | Quantitative Analyst |
| Required Education and Experience | Master's degree/PhD |
| Fields of Study | Statistics, Operations Research, Econometrics, Actuarial Science, Applied Mathematics, or other applied mathematical science |
| Software | Proficiency in at least one computer programming language including code development. Exposure to SAS or other statistical software |
| Essential Duties and Responsibilities | · Develop, document, and support deployment of quantitative models and other analytical tools. Projects may include, but not be limited to, risk tool/model development, collections, recovery, fraud identification, assessment and monitoring relative to risk grading, delinquency and default estimation, customer attrition, credit line management, stress testing/loss forecasting, pricing, loss severity, loss reserving, portfolio management, interest rate derivatives hedging, and mortgage servicing. · Facilitate user (e.g., line of business (LOB)) and Risk Management understanding and acceptance of proposed models by preparing high quality documentation, including presentations, explaining the model and its validity for its intended use. Provide support during verbal presentations to stakeholders and oversight groups. · For deployed models, develop and execute ongoing model verification, performance reporting, and assist with change management processes and procedures, including but not limited to back testing including outcomes analysis. · Ensure that models comply with BB&T requirements for model development, documentation, ongoing verification, change management and other policy requirements; address model validation recommendations and remediate issues. · Perform other analytical activities, as requested by managers. · Continuously broaden and deepen expertise in analytical methods via self-directed research and training. |
| Quantitative Techniques | · Ordinary least squares · Logistic/Probit regression · Distribution fitting · Linear/Mixed Integer Programming · Time series analysis · Bayesian estimation · Queuing theory (e.g., call center analytics) |
| Required Skills and Competencies | · Strong work ethic and desire to enhance knowledge base and technical skills · Ability to work independently and to seek and use guidance appropriately · Ability to handle ambiguity and adapt to shifting objectives · Strong written and verbal communication skills · Strong problem solving skills · Demonstrated proficiency in basic computer applications (e.g., MS Office) · Willingness to travel, occasionally overnight |
If interested, please send resume and cover letter to Reid Gilliam at rgilliam@bbandt.com.
Thank you,
Reid Gilliam
Senior Quantitative Manager
BB&T Risk Management Organization