Fraud Risk Strategy Analytics
3 weeks ago
The Fraud Risk Analytics is part of the Consumer Banking Risk Management and Fraud Center of Excellence (COE) team within Consumer and Community Banking Risk.
This team is responsible for analysis related to various De-Risking and Analytics initiatives within the Fraud Risk Business.
As an Strategic Analytics Associate, you'll work with the risk team to generate thoughtful analytics and recommendations to the business concerning strategy development, implementation, operational controls, and performance monitoring. This requires deep understanding of the problem universe, digging into data to understand root causes, leveraging analytics to design a solution, and implementation of the solution. You will play a critical role in driving end to end solutions which mitigate risk while providing a balanced solution to minimize revenue loss, operating costs and customer impacts.
Job responsibilities
Develop and maintain periodic analytics to provide management with full insight into emerging trends in Card Rewards; Communicate across partner teams and at all levels Manage deliverables needed to implement strategies by working with stakeholders to design solutions, develop requirements and test their implementation Monitor strategies to identify emerging attacks and trends and make changes to strategies in response Ensure compliance with existing control structure while also driving future enhancements Conduct ad hoc analytics and contribute to various projects representing Risk Management and deliver on short timelinesRequired qualifications, capabilities, and skills
Bachelor's Degree from an accredited college/university in a quantitative discipline. 3+ years of experience in a quantitative role. Analytical mindset and strong problem solving skills. Proficient in performing analytics using SAS or equivalent analytical tool and ability to query large amounts of data using SQL and transform the raw data into actionable management information. Ability to query large amounts of data and transform the raw data into actionable management information.Preferred qualifications, capabilities, and skills
Experience in credit cards or financial services or risk management. Working knowledge of detection & mitigation practices for fraud preferred. Master's degree or above.-
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