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DESCRIPTION:
Duties: Develop innovative fraud prevention strategies using public and proprietary data. Manage operational and risk metrics, develop new processes such as adverse action letters, resolve control gaps and support updates/changes to digital onboarding flow. Provide analytic support and timely reporting for the successful implementation of various re-risking initiatives. Coordinate with IT, Systems, and Operations partners to implement new projects and capabilities as required. Ensure compliance with existing risk and control structure while driving future enhancements. Assess fraud trends to uncover gaps in fraud tools and develop new ways of combatting fraud. Provide accurate and concise results and present findings, recommendations, and presentations to Management. Acquire business expertise in the account’s origination processes, operational review, and digital onboarding. Collaborate and partner with other departments, such as Finance, Digital, Operations, Marketing and Product Management based on business requirements. Communicate across lines of business and all key stakeholder groups. Participate in developing and implementing best practices across the broader team, including stakeholders.
QUALIFICATIONS:
Minimum education and experience required: Master’s degree in Engineering (any), Finance, Statistics, Mathematics, or related field of study plus 2 years of experience in the job offered or as Strategic Analytics, Modeling Analytics, Data Developer, Data Information Analyst, Programmer Analyst, or related occupation. The employer will alternatively accept a Bachelor’s degree in Engineering (any), Finance, Statistics, Mathematics, or related field of study plus 5 years of experience in the job offered or as Strategic Analytics, Modeling Analytics, Data Developer, Data Information Analyst, Programmer Analyst, or related occupation.
Skills Required: Requires experience in the following: Using SQL to analyze large data sets of 40MM+ records; Using Unix or Shell scripting to develop and maintain automation scripts; Using Excel to build complex formulas and run and create macros and pivot tables; Using Tableau to build automated reporting, data visualization and data formatting for executive dashboards; SAS; Database tools such as Teradata, SQL Assistant, or Oracle.
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