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Manager, Fraud and Data Analytics

ADDENDUM MANAGER, FRAUD STRATEGY AND DATA ANALYTICS Maintains and enhances business strategies to prevent fraud losses Ensures customer experience is best in class as a result of implemented strategies Works closely with technology and finance teams in analyzing, gathering and utilizing data to make concise recommendations Drives the documentation process to measure trends and identify opportunities for customers Develops rules and guidelines for both internal and external partners when building out fraud strategies Oversees the execution and compliance of workload within established guidelines across all areas of responsibility QUALIFICATIONS REQUIRED Bachelor's Degree is required in Statistics, Computer Science, Mathematics, Operations Research or Engineering 5+ years of experience in data science or relevant field Proven ability to apply cutting-edge statistical techniques to large, complex data sets in order to solve business problems Working experience and knowledge of any statistical/analytical/big datalanguages (SAS, R, Python, Spark, Hive) Strong analytical and problem solving skills Experience with key analytics methods and modeling techniques Experience leading dynamic teams Ability to collaborate with internal and external partners to drive projects and business needs PREFERRED A Graduate Degree in Statistics, Computer Science, Mathematics, Operations Research, Engineering, Science Retail or credit card industry experience R40296
Salary Range: NA
Minimum Qualification
5 - 7 years

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