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Card Fraud Risk Oversight - Consumer and Community Banking - Associate

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: JP Morgan Chase
Full Time position
Listed on 2026-10-31
Job specializations:
  • Finance & Banking
    Banking & Finance
  • IT/Tech
    Data Analyst, Banking & Finance
Salary/Wage Range or Industry Benchmark: 65000 - 95000 USD Yearly USD 65000.00 95000.00 YEAR
Job Description & How to Apply Below

Help protect millions of customers by transforming complex card transaction data into clear, actionable fraud insights. You'll surface emerging fraud schemes, strengthen governance and oversight, and support high-impact investigations. Partnering across Fraud Operations, Risk, Compliance, and Technology, you'll improve data quality and drive better fraud outcomes. If you thrive in data-heavy environments and want your analysis to directly reduce fraud risk, this role is for you.

As a/anCard Fraud Risk Oversight Associate in theCard Fraud Oversight team, you help protect customers and the firm by monitoring fraud activity across card products and turning high-volume transaction data into timely insights and effective actions.
You will analyze trends, detect anomalies, and support investigations while helping ensure oversight practices meet regulatory and audit expectations. You'll also contribute to stronger data governance, clearer reporting, and process improvements that measurably reduce fraud risk.

Job Responsibilities
  • Aggregate large volumes of card transaction and case data to monitor fraud performance across card products.
  • Validate datasets and metrics to ensure accuracy, completeness, and consistency across reporting and oversight outputs.
  • Analyze transaction patterns, anomalies, and behavioral signals to identify emerging fraud risks and evolving schemes.
  • Developandmaintaindashboards and recurring reports to track fraud KPIs, case volumes, resolution rates, and key drivers.
  • Conduct deep-dive analyses on fraud cases, cardholder behavior, and root causes to support targeted mitigation strategies.
  • Partner with Fraud Operations, Risk, Compliance, and Technology to address data quality issues and strengthen end-to-end oversight.
  • Support investigations by providing clear, evidence-based insights, data extracts, and analytical narratives for decision-makers.
  • Prepare materials and documentation for regulatory, audit, and management requests, ensuring timely and accurate submissions.
  • Identify process improvement opportunities through data-driven findings andrecommendactionable controls or operational enhancements.
  • Document data definitions, methodologies, controls, and lineage to uphold data governance standards and ensure repeatability.
Required Qualifications , Capabilities, and Skills
  • Bachelor's degree.
  • Hands-on experience with SAS, SQL, and Python.
  • Minimum of 1 years of experience in risk management or financial services.
  • Strong written and verbal communication skills, including creating clear presentations and presenting findings to senior management.
  • High degree of initiative, self-direction, and organizational discipline.
  • Ability to collaborate and build strong partnerships.
  • Intellectual curiosity, attention to detail, and a proven ability to learn quickly.
Preferred Qualifications , Capabilities, and Skills
  • Experience analyzing card authorization/clearing/settlement data and understanding transaction life cycles and fraud typologies.
  • Proficiency building automated reporting pipelines and dashboards (e.g., SQL automation, Python workflows, Tableau dashboards).
  • Familiarity withfraud case management processes and operational performance metrics (e.g., case aging, closure quality, recoveries).
  • Experience supporting regulatory examsand internal/external audits, including strong documentation and controls discipline.
  • Knowledge ofdata governance concepts (data lineage, definitions, controls, quality checks) and applying them in analytics workflows.
  • Exposure tomachine learning/advanced analytics concepts for fraud detection (feature engineering, model monitoring, alert tuning).
  • Experience working with large-scale data environments (e.g., cloud data platforms, distributed datasets) and performance optimization.

To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).

Position Requirements
10+ Years work experience
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