**MEMBERS ONLY**SIGN UP NOW***. is currently seeking a Senior Modeling Analyst to join the Decision Science team in Hurst, Texas! The Senior Modeling Analyst reports directly to the Director of Model Development and is responsible for building predictive models (Credit Scoring, Logistic Regression, Neural Networks, and Decision Trees), as well as providing ad hoc reports and analysis to support the US Financial Services Online and Storefront divisions.
Key Areas of Responsibility will include:
Data preparation, manipulation, modeling and analysis.
Build/maintain/update basic models and reports
Documentation, monitoring and maintenance of implemented models
Create automated reports and conduct ad hoc analysis as needed.
Build statistical models using SAS (Base / Stat / Macros) in a financial services environment.
Ability to build predictive models using logistic regression and other statistical procedures.
To perform this job successfully, an individual must be able to perform the critical tasks listed above satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Evidence of strong SAS programming experience.
SAS Certified Base Programmer for SAS 9 preferred
SAS Certified Advanced Programmer for SAS 9 preferred
Knowledgeable in metrics such as Weight of Evidence (WOE), Information Value (IV), KS, PSI, Gini, ROC. Etc.
Experience with credit vendor data used in making lending decisions.
3 years or more of qualified experience with quantitative and qualitative data analysis; data modeling; report development; SQL programming skills. Preferably in a consulting or financial services environment.
“Big Data skills with experience handling large datasets along with experience in one of more of the following areas:
Conduct complex data mining independently and within required timeframes.
Knowledge of and proficiency with Microsoft Excel (including VBA macros), MS SQL, and/or other data management software.
Proven ability to interpret data and provide meaningful insights around the business.
Demonstrated ability to an analyze data and provide valuable business insights and suggestions.
The incumbent must possess strong written, communication, time management, organizational and analytical skills. They must be self-motivated and results oriented with superior attention to detail.
Bachelor’s degree in statistics, math, operations research, or quantitative field. Master’s degree preferred.
SAS required (BASE / STAT / MACROS / Enterprise Guide). SQL and Excel VBA (macros) preferred.