Card Fraud Risk Oversight Associate

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 85,000 - 120,000; Full time

Job summary

JPMorgan Chase & Co. in Columbus, OH is seeking an Card Fraud Risk Oversight Associate to transform high-volume card transaction data into timely insights and actions. You will monitor fraud activity, analyze trends, and support investigations to strengthen governance and risk oversight.

You will collaborate across Fraud Operations, Risk, Compliance, and Technology to improve data quality and deliver audit-ready materials. The role emphasizes data-driven decision-making and initiative.

Qualifications

• Bachelor's degree in Business, Finance, Economics, or related field; practical experience acceptable.
• Demonstrated ability to detect trends and anomalies and translate outputs into risk insights.

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.
• Develop and maintain dashboards 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 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 submissions.
• Identify process improvements through data-driven findings and recommend actionable controls or enhancements.
• Document data definitions, methodologies, controls, and lineage to uphold governance standards.

Skills

Analytical thinking

Communication

Problem solving

Attention to detail

Storytelling

Data governance

Influence without authority

Independent work

Education

Bachelor's degree in Business, Finance, Economics

Tools

SQL

SAS

Python

Excel

Tableau

Job description

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 Associatein 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

• Aggregatelarge volumes of card transaction and case data to monitor fraud performance across card products.
• Validatedatasets and metrics to ensure accuracy, completeness, and consistency across reporting and oversight outputs.
• Analyzetransaction 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.
• Conductdeep-dive analyses on fraud cases, cardholder behavior, and root causes to support targeted mitigation strategies.
• Partnerwith Fraud Operations, Risk, Compliance, and Technology to address data quality issues and strengthen end-to-end oversight.
• Supportinvestigations by providing clear, evidence-based insights, data extracts, and analytical narratives for decision-makers.
• Preparematerials and documentation for regulatory, audit, and management requests, ensuring timely and accurate submissions.
• Identifyprocess improvement opportunities through data-driven findings andrecommendactionable controls or operational enhancements.
• Documentdata definitions, methodologies, controls, and lineage to uphold data governance standards and ensure repeatability.

Required Qualifications, Capabilities, and Skills

• Minimum 3 yearsof experience working with large datasets in an analytics, risk, fraud, or financial services environment.
• Minimum 3 yearsof hands-on experience using data analysis tools such asSQL, SAS, Python, Excel, and/orTableau(or comparable BI tools).
• Bachelor’s degree inBusiness, Finance, Economics, or a related field (or equivalent practical experience, where applicable).
• Demonstrated ability todetect trends and anomaliesand translate analytical outputs into clear risk insights and actions.
• Strongproblem-solvingcapability with high attention to detail, including reconciliation and data quality validation.
• Proven ability tocommunicate complex findingsto non-technical stakeholders through concise storytelling and visual reporting.
• Experience withcard products, fraud detection, payments, or comparable consumer finance risk domains.
• Ability to collaborate effectively with bothbusiness and technicalpartners to drive outcomes and resolve issues.
• Excellentwritten and verbal communicationskills, including the ability to produce audit-ready materials.
• Strongemotional intelligenceand proven ability to influence across teams without direct authority.
• Ability to workindependently, manage multiple priorities, and deliver under tight deadlines.

Preferred Qualifications, Capabilities, and Skills

• Experience analyzingcard authorization/clearing/settlementdata and understanding transaction lifecycles and fraud typologies.
• Proficiency building automated reporting pipelines and dashboards (e.g., SQL automation, Python workflows, Tableau dashboards).
• Familiarity withfraud case managementprocesses and operational performance metrics (e.g., case aging, closure quality, recoveries).
• Experience supportingregulatory examsand internal/external audits, including strong documentation and controls discipline.
• Knowledge ofdata governanceconcepts (data lineage, definitions, controls, quality checks) and applying them in analytics workflows.
• Exposure tomachine learning/advanced analyticsconcepts 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.