Primary Purpose:
Develop, document and support deployment of quantitative models and other analytical tools. This position may also work in
model validation to review these tools after they have been developed and deployed. Projects may include, but not be limited to,
risk tool/model development, assessment and monitoring relative to risk grading, delinquency, prepayment, 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.
Essential Duties and Responsibilities:
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are
not mentioned below. Specific activities may change from time to time.
1. Facilitate user (e.g. line of business (LOB)) and 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.
2. 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.
3. 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.
4. Perform other analytical activities, as requested by managers.
5. Continuously broaden and deepen expertise in analytical methods via self-directed research and training.
6. For Model Risk Management roles, ensure models subject to validation have received effective challenge, document the
strengths, weaknesses and limitations of models, write model validation issues and observations in the course of model
validation and promote sound model governance throughout the Corporation.
Required Skills and Competencies:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations
may be made to enable individuals with disabilities to perform the essential functions.
1. Master’s degree in Statistics, Econometrics, Actuarial Science, Applied Mathematics, Operations Research, or other applied
quantitative science, or equivalent education and related training
2. Strong work ethic and desire to enhance knowledge base and technical skills
3. Ability to work independently and to seek and use guidance appropriately
4. Ability to handle ambiguity and adapt to shifting objectives
5. Strong written and verbal communication skills
6. Strong problem solving skills
7. Proficiency in a computer programming language, including code development, and exposure to SAS or other statistical
software
8. Demonstrated proficiency in basic computer applications, such as Microsoft Office software products
9. Ability to travel, occasionally overnight
Desired Skills:
1. PhD
2. Two years of experience in a related field
3. Three years of SAS experience with demonstrated application to large data problems of Data Step, SQL, SAS Macros, and relevant statistical procedures.