Card Fraud Risk Oversight Associate

JPMorganChase; Columbus (OH); On-site; USD 95,000 - 130,000; Full time

Benefits offered by this job

Health insurance

On-site wellness centers

Retirement savings plan

Tuition reimbursement

Job summary

JPMorgan Chase in Columbus, OH is seeking a Card Fraud Risk Oversight Associate to monitor fraud activity across card products and transform high-volume transaction data into timely insights. You will analyze trends, detect anomalies, and support investigations while ensuring regulatory and audit aligned oversight.

You will develop dashboards, report on KPIs, and collaborate with Fraud Operations, Risk, Compliance, and Technology to improve data quality and drive fraud risk reduction.

Qualifications

• Bachelor's degree in Business, Finance, Economics, or related field or equivalent experience.
• Proven ability to detect trends and translate analyses into actionable risk insights.
• Strong problem-solving with high attention to detail and data quality validation.
• Experience communicating complex findings to non-technical stakeholders with concise storytelling.

Responsibilities

• Aggregate large volumes of card transaction data to monitor fraud performance across products.
• Validate datasets and metrics for accuracy and completeness across reporting outputs.
• Analyze patterns, anomalies, and signals to identify evolving fraud risks.
• Develop dashboards and reports to track fraud KPIs and case volumes.
• Support investigations with data extracts and evidence-based narratives.

Skills

Analytical thinking

Communication skills

Attention to detail

Cross-functional collaboration

Storytelling

Problem solving

Education

Bachelor's degree in Business/Finance/Economics

Tools

SQL

SAS

Python

Excel

Tableau

Job description

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.

Card Fraud Risk Oversight Associate

As a Card Fraud Risk Oversight Associate in the Card 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 ensuring 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.
• 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 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 and recommend actionable controls or operational enhancements.
• Document data definitions, methodologies, controls, and lineage to uphold data governance standards and ensure repeatability.

Required Qualifications, Capabilities, and Skills

• Minimum 3 years of experience working with large datasets in an analytics, risk, fraud, or financial services environment.
• Minimum 3 years of hands‑on experience using data analysis tools such as SQL, SAS, Python, Excel, and/or Tableau (or comparable BI tools).
• Bachelor’s degree in Business, Finance, Economics, or a related field (or equivalent practical experience, where applicable).
• Demonstrated ability to detect trends and anomalies and translate analytical outputs into clear risk insights and actions.
• Strong problem‑solving capability with high attention to detail, including reconciliation and data quality validation.
• Proven ability to communicate complex findings to non‑technical stakeholders through concise storytelling and visual reporting.
• Experience with card products, fraud detection, payments, or comparable consumer finance risk domains.
• Ability to collaborate effectively with both business and technical partners to drive outcomes and resolve issues.
• Excellent written and verbal communication skills, including the ability to produce audit‑ready materials.
• Strong emotional intelligence and proven ability to influence across teams without direct authority.
• Ability to work independently, manage multiple priorities, and deliver under tight deadlines.

Preferred Qualifications, Capabilities, and Skills

• Experience analyzing card authorization/clearing/settlement data and understanding transaction lifecycles and fraud typologies.
• Proficiency building automated reporting pipelines and dashboards (e.g., SQL automation, Python workflows, Tableau dashboards).
• Familiarity with fraud case management processes and operational performance metrics (e.g., case aging, closure quality, recoveries).
• Experience supporting regulatory exams and internal/external audits, with strong documentation and controls discipline.
• Knowledge of data governance concepts (data lineage, definitions, controls, quality checks) and applying them in analytics workflows.
• Exposure to machine 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.

Compensation & Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health insurance coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

EEO Statement

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country‑specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.