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This job is responsible for performing more complex analysis and modeling to minimize fraud loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met, and propose policy/procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and creating mitigation strategies.
Responsibilities:
LOB Specific Information
This job is responsible for performing more complex analysis and modeling to minimize fraud loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met, and propose policy/procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and creating mitigation strategies.
Responsibilities:
•Responsible for performing more complex analysis and strategy development for multiple money movement products with the goal of maximizing profits and asset growth and minimizing risk and operating losses and/or other financial and marketing exposures. Other responsibilities include:
∙ Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data.
∙ Support biometrics capability enhancements and strategy design
∙ Build and develop logic for strategy
∙ Utilizes portfolio trends to propose strategy and policy changes within segmentation structure to produce optimal results.
∙ Role would also include project scope leadership where candidate would be responsible for providing fraud requirements, testing, and development of strategies
∙ Excels at risk/reward trade off.
∙ Participates in the rollout of leading-edge machine learning technology
∙ Duties primarily include the regular use of discretion, independent judgment, the ability to communicate with multiple levels of management and the utilization of core leadership behaviors.
Required Qualifications:
▪ 3+ years of fraud experience and/or 2+ years of analytical experience (Payment card /Retail Bank background preferred)
▪ Proficient in SAS/SQL and Excel
▪ Strong quantitative, critical thinking, and analytical skills
▪ Innovative mindset with the ability to challenge the status quo
▪ Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines
Desired Qualifications:
▪ Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
▪ Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.)
▪ Proven strong analytical and communication skills
1st shift (United States of America)These jobs might be a good fit