Analytical Modeling Staff Scientist - West Coast – 06001971

Job Field: Software R&D

Locations: US-CA-San Diego

Organization: SAS Institute Inc.

 

Description

 

THIS POSITION WILL BE LOCATED IN SAN DIEGO, CALIFORNIA

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 two years of experience analyzing data and building analytical models. (The level of this position will be determined based on the applicant's education, skills and experience.)

Master's degree in statistics, mathematics, computer science, engineering, or the physical sciences.

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.

Preferences:

Ph.D. in applied statistics, mathematics, computer science, engineering, or the physical sciences.

Experience with credit risk modeling, financial services/credit card research, and/or dealing with large-scale transaction data.

Experience using the SAS System or a comparable analytical software.

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.

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.

Additional Information:

Directly related experience or a combination of directly related education and experience may be considered in place of the above requirements.

Resumes may be considered in the order they are received.

 

How to apply:

Applications accepted online only at: http://www.sas.com/jobs/USjobs/search.html. All other forms of application may not be considered. Please refer to job# 06001971 when applying online.