Regions Bank Decision Engine/FICO Blaze - Credit Risk Quantitative Analyst in Hoover, Alabama
Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career --- a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.
Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law. Such information will be stored for a set period of time. You may review, modify, or update your information by visiting and logging into the careers section of the system.
At Regions, the Consumer Credit Risk Quantitative Analyst utilizes analytical and statistical methods to quantify credit risk, automate and optimize lending decisions, and forecast credit performance. The Analyst is responsible for determining the effectiveness of credit risk management strategies, including origination, collections and account management strategies and for suggesting strategy improvements. The Quantitative Analyst will work within the Regions risk management framework to identify, measure, mitigate, monitor and report on credit risk.
Executes data retrieval, and designing reporting using SAS and other data management tools for data analytics, model building, and model monitoring
Prepares analysis and reporting on advanced automated decision strategies in the full life cycle of consumer banking products such as Home Equity, Auto, and Credit Card
Builds and documents decision trees, credit scoring models and behavioral scores
Bachelor’s degree in Statistics, Data Science, Quantitative Finance or another quantitative discipline
Master’s degree in Statistics, Data Science, Quantitative Finance or another quantitative discipline
Three (3) years of practical experience
Demonstrated strong analytical and decision making skills
Highly developed written and oral communication skills
Proficient with Microsoft Office
Experienced with advanced programming languages, such as SAS, Python or SQL
*This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.
PhD in a related field
Intermediate or Advanced SAS programming skills
Appropriate professional or technical certification(s), such as SAS Certification, FRM, CFA
At least three (3) years of banking or credit risk experience
Understanding of credit risk analytics and/or experience with underwriting cut-off analysis, strategy analysis, and collections analytics
Understanding of credit risk analytics, strategy analysis, and collections analytics
Working knowledge credit servicing systems, such as ACAPS, Triad, TSYS and ACLS
Knowledge of consumer credit products
Skills and Competencies
Strong analytical problem solving skills
Experience with advanced analytical and statistical techniques
Experience in data mining, statistical and computational methods including logistic regression and Decision tree analysis
Complex problem solving
Ability to get along with a wide range of people and to work on a team
Capable of working on multiple projects, meeting tight deadlines, and executing key tasks accurately
Works collaboratively with senior level managers of credit risk
Additional preferences for this specific role include:
FICO Blaze rules decision engine/RMA, or FICO Blaze IDE development experience
FICO Blaze decision engine, or comparable decision engine, integration and data mapping experience
Development of complex origination/servicing workflow and rule-based logic
At Regions, our culture focuses on five core values that are a commitment to how we will do business:
Put people first
Do what is right
Focus on your customer
Through these values, our mission to make life better drives our desire to improve and make a positive difference in the communities where we work and live through financial investments and volunteering.