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This job is responsible for performing more complex analysis and modeling to minimize 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 and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies.
Responsibilities:
LOB Job Description:
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
Skills:
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