Risk Management - Fraud Risk - Senior Associate
About The Position
Bring your expertise to JPMorgan Chase. 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 a Strategic Analytics Associate within the Card Fraud Oversight team, you'll work with the risk team to generate thoughtful analytics and recommendations to the business concerning strategy development, implementation, operational controls, and performance monitoring. This data-heavy role requires advanced analytical skills, a keen eye for detail, and the ability to interpret complex datasets to identify fraud trends.
Requirements
- MS degree and 3 years Risk Management
- Otherwise, BS degree and minimum 5 years Risk Management or other quantitative experience required
- Background in statistics, econometric, or other quantitative field required.
- Proven experience working with large datasets and data analysis tools (SAS, SQL, Python, Microsoft applications, Tableau, etc.).
- Familiarity with risk analytic techniques
- Strong analytical and problem-solving abilities
- Strong written and oral communication skills
- Experience delivering recommendations to management
Responsibilities
- Develop and maintain dashboards, reports and periodic analytics to provide management with full insight into emerging trends and the quality of the originated accounts
- Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle
- Conduct ad hoc analytics and contribute to various projects representing Risk Management
- Aggregate, validate, and analyze large volumes of card transaction data to detect patterns, anomalies, and potential fraud risks.
- Collaborate with Fraud Operations, Risk, Compliance, and Technology teams to ensure data accuracy and support fraud oversight activities.
- Conduct deep-dive analyses on fraud cases, cardholder behavior, and emerging fraud schemes using advanced data tools (e.g., SQL, Python, Excel).
- Identify process improvement opportunities through data-driven insights and recommend actionable solutions to reduce fraud risk.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Credit Intermediation and Related Activities
Number of Employees
5,001-10,000 employees
