This position is responsible for developing and optimizing fraud policies through data
analysis and statistical techniques.
Perform data and portfolio analysis to enhance existing, or develop new, fraud policies. This
includes development and analysis of point-of-sale strategies, transaction queuing for
operational review, and model development for application queuing and information
verification. This should be accomplished through analysis of both internal and third party
data, in conjunction with vendor software applications. This analysis should produce policies
that make efficient use of the operational area and provide minimal impact to the customer
ultimately resulting in a managed fraud loss.
Develop and produce MIS communicating the fraud results to the business. This includes
authorization, fraud, and financial reporting. The MIS should contain loss rates, volumes,
customer impacts, operations efficiency, and performance statistics.
Produce ad-hoc MIS and analysis.
Evaluate alternative data sources for use in fraud management.
Interface regularly with Customer Security and other functional areas of the business.
Develop tests to challenge existing fraud processes and make recommendations for change to the
senior risk management team.
Education, Experience, And Skills Required:
Minimum 2 years Fraud Policy experience.
Advanced knowledge of SAS, SQL or comparable analytical tools
Bachelors degree in an analytical discipline
Superior analytic skills