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Responsibilities
Identify opportunities for new fraud strategy development or optimization of existing rules using statistical and analytical techniques to balance effectiveness, coverage, customer experience and resource constraints.
Partner with technology and business partners to implement new technology and new products, ensuring fraud risks are controlled.
Identify new sources of data (internal or vendor‐provided) that enrich our existing fraud detection processes, be added to our decision systems, and allow for new detection strategies to be developed.
Perform analysis of our fraud models to assess performance and effectiveness and making recommendations to continue using or redeveloping these models.
Work on the development of both ad‐hoc and more standardized reporting (MIS).
Utilize database software and analytical/reporting tools, such as Python, SAS, SQL, DB2, and Tableau.
Work with processes and tools such as SAS Fraud Management and other analytical software that are used for development, validation, implementation, and documentation of credit risk and/or fraud business strategies and scoring toolkits.
Analyze risk strategies, financial drivers, and credit/fraud operations by utilizing SAS, SQL, Excel and Tableau.
Summarize large data sets of data and design customized reports using Tableau to share with senior management.
Remote work may be permitted within a commutable distance from the worksite.
Required Skills & Experience
Master's degree or equivalent in Statistics, Mathematics, Business Analytics and Project Management, or related; and
3 years of experience in the job offered or a related quantitative occupation.
Must include 3 years of experience in each of the following:
Utilizing database software and analytical/reporting tools, such as Python, SAS, SQL, DB2, and Tableau;
Working with processes and tools such as SAS Fraud Management and other analytical software that are used for development, validation, implementation, and documentation of credit risk and/or fraud business strategies and scoring toolkits;
Analyzing risk strategies, financial drivers, and credit/fraud operations by utilizing SAS, SQL, Excel and Tableau; and,
Summarizing large data sets of data and design customized reports using Tableau to share with senior management.
If interested apply online ator email your resume toand reference the job title of the role and requisition number.
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