As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As part of Digital Fraud Strategy team you will be responsible for leveraging advanced analytical tools to protect customers from fraud and scams in the digital payments space. You will leverage 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 will act as the end to end owner of fraud loss management of digital activity.Job Responsibilities: Intense focus on monitoring and optimizing fraud risk exposure, operational impacts, and the client experience Ability to analyze emerging fraud and scam trends and recommend mitigating actions 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 issuesRequired qualifications, capabilities and skills 6 years of professional experience, experience in risk management, strategic analytics, or data science preferred Strong knowledge of fraud risk management life cycle (detection, prevention, recovery) 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 Good understanding of what to monitor (vintage, KPIs, early reads) Demonstrated strong data analytical skills (e.g. cost benefit analysis, trend analytics, anomaly detection, retroactive performance analysis), designing & analyzing experiments, and Modeling 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 2 years of experience in Fraud risk roles preferred Experience with Fraud Wrongdoers, Mules and 1st party fraudsters/ID theft Strong P&L knowledge and understanding of drivers of profitability A bachelor's degree in Finance, Accounting, Economics, Statistics or equivalent work experience preferred