Jobs

Description:
As a member of the Financial Services Modeling team, you will analyze customer data and build high-end analytical models for solving high-value business problems, such as credit card fraud, credit risk, network security, tax fraud detection, and revenue and collections optimization.

Your duties will include analyzing customer data for accuracy and consistency, as well as novel and useful information; building high-end analytic models for problems, such as credit card fraud detection; interacting with customers from the data analysis stage to the final report presentation and assisting in technical sales support as needed; building new variables by interpreting underlying data in novel ways; improving modeling techniques to improve model performance; maintaining and improving the processes and procedures for building high-end analytic modeling solutions; writing coherent reports and making presentations on high-end analytical projects; leading a group of scientists through project completion as needed; and performing other duties as assigned.

Qualifications

• A minimum of four years of experience analyzing data and/or building analytical models. (The level of this position will be determined based on the applicant's education, skills and experience.)
• Experience using the SAS System or a comparable analytical software.
• Master's degree in applied statistics, mathematics, computer science, or engineering; or a Master's degree in a closely related field, combined with knowledge in the application of statistics using the SAS System.
• Excellent written and verbal communication skills.
• Ability to communicate with people of various technical and business backgrounds, including the ability to explain difficult technical concepts in simple terms to business users.
• Ability to think analytically, write and edit technical material, and relate statistical concepts and applications to statistical and nonstatistical users.
• Ability to work independently and with a team environment.
• Ability to travel as business requirements dictate.

• Experience with credit risk modeling, financial services/credit card research, and/or dealing with large-scale transaction data.
• Industry or academic experience in mathematical/statistical modeling, pattern recognition, or data mining/data analysis.
• Extensive experience specifying and building advanced statistical solutions for the financial services and related industries.
• Related Ph.D.
• Excellent knowledge of financial services fraud and credit risk issues.
• Thorough knowledge of supervised and unsupervised modeling techniques.
• Good programming skills and knowledge of SAS, Java, or other analytical programming languages.
• Ability to translate model performance to financial benefit for the business by incorporating knowledge of customer business practices.
• Ability to deal with large volumes of transaction data in Unix-based environments.

Resumes may be considered in the order they are received.

How to apply:
Applications accepted online only at: www.sas.com/jobs/USjobs/search.html.

All other forms of application may not be considered. Please refer to job# 06001607 when applying online.