Card Fraud Strategy - Senior Associate

As a part of Fraud Strategy, 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 Fraud Strategy is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area Join Chase Card Payment Fraud Strategy Team to fight payment fraud by leveraging your analytical mindset, strong problem-solving skills, and business best practices with cutting-edge technologies. If you are passionate about the cards business and payment risk analytics, and if you enjoy fighting fraud, making good changes, and influencing across organizations to deliver new capabilities, come join our team.

As the Fraud Strategy Senior Associate, you will be responsible for managing Payment Risk strategy for Chase's Card portfolio, including Consumer and Small Business end to end including the external account linkage to Card Risk and Post Payment Risk. This includes identifying optimization opportunities, developing value-based strategies to mitigate payment Risk, DDA linkage Risk, tracking performance to ensure strategy performs within expectation, and creating MIS / reports to inform management decision. You will work very closely with stakeholders such as Credit Risk teams, Payments Product team, PayChase Product team, Fraud risk product team, Operations, Loss Forecasting team, Trust and Security, Legal and Compliance. The organization operates in a fast-paced environment and requires rapid response time to emerging issues. A sense of urgency, effective time managementand being detail oriented will be key.

• Management of Payment Risk for Chase Card portfolio (Consumer and Business) from strategy development, execution, monitoring and governance.
• Acquire deep understanding of suspicious fraud behaviors, and drive analytics that provide the granularity needed to identify targeted profile.
• Implement disciplined approach to testing, project execution and development of robust tracking and performance monitoring capabilities.
• Keep up with industry trends and bring innovative third-party solutions in payment risk after successful proof of concept practice.
• Effective communicationacross partner teams and at all levels, presenting strategies for approval and obtaining executive buy-in.
• Appropriately assess Payment risk associated with new product / strategy change.
• Escalate potential risks which may result in unacceptable fraud controls and losses.
• Provide support, including analysis, to various strategic initiatives outlined by the business and Fraud Strategy leadership.
• Perform analysis of current and historic data to keep fraud systems and processes updated.
• Conduct periodic high fraud losses case reviews to identify gaps in fraud strategy, case management or make procedural adjustments.
• Conduct ad hoc analytics and contribute to various projects representing Risk Management
• Bachelor's Degree from an accredited college / universityin a quantitative discipline
• 5+ years of experience in Risk Management or another quantitative role
• Ability to independently partner and influence across organizations to deliver new capabilities.
• Good analytical mindset and Strong problem-solving skills
• Familiarity with risk analytic techniques.
• 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.
• Query large amounts of data and transform the raw data into actionable insights.
• Proficient in Excel & PowerPoint
• Excellent written and oral communication skills.
• Experience in credit cards or financial services or risk management
• Working knowledge of detection & mitigation practices for fraud types, such as credit abuse / first party fraud
• Demonstrated experience with data analysis, designing & analyzing experiments, and strategy.
• Master's Degree from an accredited college / university in a quantitative discipline.

Skills Required

Sas, Sql, Powerpoint, Excel