Job Description

As part ofDigital Fraud Strategy team you will beresponsible for leveraging advanced analytical tools to protect customers from fraud and scams in the digital payments space. you willleverage machine learning fraud models, overlain with vendor and in-house data as well as an array of analytical techniques to develop risk rules and strategies. You willact as the end to end owner of fraud loss management of digital activity. Job Responsibilities: Ability to analyze emerging fraud and scam trends and recommend mitigating actions The ability to develop new fraud fighting products by designing requirements and working with technical business partners to implement these products using agile design methodology Ability to develop new creative solutions to challenges presented by fraud activity leveraging outside the box thinking Manipulate and understand large amounts of complex data to monitor and uncover behaviors and trends in fraudulent activity Strong communication skills with the ability to communicate complex data into a clear story to team members as well as senior leaders A desire to work as part of a team, and ability to work with cross functional teams The ability to work on diverse tasks and respond to emerging issues Required qualifications, capabilities and skills 6+ years of professional experience, experience in risk management, strategic analytics, or data science preferred Strong analytical, interpretive and problem solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas Strong written and verbal communication skills and ability to interact with all levels of the organization is required with the ability to storyboard along with the ability to defend storyboard position Ability to develop elegant and common-sense solutions to complex business challenges Strong knowledge of programming language like: Python, SAS, R and SQL Proficient in Excel & PowerPoint Preferred qualifications, capabilities and skills 2years of experience in Fraud risk roles preferred Strong P&L knowledge and understanding of drivers of profitability Demonstrated experience with data analysis, designing & analyzing experiments, and Modeling A bachelor\'s degree in Finance, Accounting, Economics, Statistics or equivalent work experience preferred

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