Risk Management - Fraud Risk - Senior Associate

Testing Site - JPMC; Columbus (OH); On-site; USD 85,000 - 110,000; Full time

Job summary

JPMorgan Chase is seeking a Strategic Analytics Associate to join the Card Fraud Oversight team in Columbus, OH. The role focuses on generating analytics and recommendations to guide strategy, controls, and performance monitoring within Risk Management and Compliance.

The ideal candidate has an MS or BS with substantial risk/quantitative experience, and strong skills in SQL, Python, SAS, Tableau, and Excel to identify fraud trends and support decision making.

Qualifications

• MS degree with 3 years Risk Management experience or BS degree with 5 years in risk/quantitative roles
• Background in statistics, econometrics, or other quantitative field required
• Proven experience working with large datasets and data analysis tools such as SAS, SQL, Python, Tableau, Excel

Responsibilities

• Develop and maintain dashboards and analytics to provide management with insight into trends and originations
• Understand key performance metrics and profitability drivers to deliver insights across the account lifecycle
• Conduct ad hoc analytics and contribute to risk management projects
• Analyze large transaction data to detect trends, anomalies, and fraud risks
• Collaborate with Fraud Operations, Risk, Compliance, and Technology teams to ensure data accuracy and support oversight activities
• Perform deep-dive analyses on fraud cases and cardholder behavior using SQL, Python and Excel
• Identify process improvement opportunities through data-driven insights and actionable recommendations to reduce fraud risk

Skills

Analytical thinking

Data storytelling

Written and verbal communication

Education

MS degree in a quantitative field

BS degree in a quantitative field

Tools

SAS

SQL

Python

Tableau

Excel

Job description

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.

Job 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.

Required qualifications, capabilities, and skills

• 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