Card Fraud Risk Oversight - Consumer and Community Banking - Associate

JPMorganChase•Columbus, OH

About The Position

The Card Fraud Risk Oversight Associate helps protect customers and the firm by monitoring fraud activity across card products and turning high-volume transaction data into timely insights and effective actions. The role analyzes trends, detects anomalies, and supports investigations while helping ensure oversight practices meet regulatory and audit expectations. It also contributes to stronger data governance, clearer reporting, and process improvements intended to reduce fraud risk. Working with Fraud Operations, Risk, Compliance, and Technology, the associate aggregates and validates card transaction and case data; develops reports and dashboards; investigates fraud cases, cardholder behavior, and root causes; and provides evidence-based insights to decision-makers. The role also supports regulatory, audit, and management requests and documents data definitions, methodologies, controls, and lineage.

Requirements

Bachelor’s degree.
Hands-on experience with SAS, SQL, and Python.
At least 1 year 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.
Authorization to work in the United States; employment-based immigration sponsorship and assistance with other immigration sponsorship or benefits are not provided.

Nice To Haves

Experience analyzing card authorization, clearing, and settlement data, with an understanding of transaction lifecycles and fraud typologies.
Proficiency building automated reporting pipelines and dashboards, such as SQL automation, Python workflows, and Tableau dashboards.
Familiarity with fraud case management processes and operational performance metrics, such as case aging, closure quality, and recoveries.
Experience supporting regulatory exams and internal or external audits, including strong documentation and controls discipline.
Knowledge of data governance concepts, including data lineage, definitions, controls, and quality checks, and experience applying them in analytics workflows.
Exposure to machine learning and advanced analytics concepts for fraud detection, including feature engineering, model monitoring, and alert tuning.
Experience working with large-scale data environments, such as cloud data platforms and distributed datasets, and performance optimization.

Responsibilities

Aggregate large volumes of card transaction and case data to monitor fraud performance across card products.
Validate datasets and metrics for 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 tracking fraud KPIs, case volumes, resolution rates, and key drivers.
Conduct deep-dive analyses of 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 with 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 and recommend actionable controls or operational enhancements.
Document data definitions, methodologies, controls, and lineage to uphold data governance standards and ensure repeatability.