Fraud Analytics Associate – Data-Driven Risk Champion

JPMorganChase; Tampa (FL); On-site; USD 90,000 - 140,000; Full time

Job summary

JPMorgan Chase is seeking a Business Analysis Associate I within Fraud Strategy and Analytics to drive data-driven fraud detection initiatives and protect clients. You will leverage advanced analytics, ML, and cross-functional collaboration to identify patterns, analyze complex datasets, and propose innovative solutions.

The role emphasizes governance, efficiency, and impact on enterprise fraud strategy. You will work with technology and ops teams, craft clear data analyses, and influence

Qualifications

• Undergraduate or Master's degree in Analytics, Data Science, Mathematics / Statistics, Finance, Business, Computer Science, or related field.
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Responsibilities

• Support day-to-day responsibilities related to data analytics and delivery of enhanced fraud detection controls
• Analyze and interpret complex data sets using advanced data analytics skills to support fraud prevention initiatives and strategic decision-making
• Perform data analytics, data mining, predictive analytics
• Deliver actionable reporting and insights that support strategic fraud risk decisions and executive-level discussions
• Mitigate risk through continuous process improvement and root cause analysis
• Drive business requirements and collaborate with Technology and Operations teams to implement new fraud prevention capabilities
• Maintain a robust governance, risk, and control environment

Skills

Data analytics

SQL

Python

Excel

BI tools

Tableau

Alteryx

Qlik/QlikSense

LLMs

Automation

Stakeholder engagement

Education

Bachelor's or Master's in Analytics/Data Science/Mathematics/Statistics/Finance/Computer Science

Tools

AWS

JIRA

PowerPoint

Visio

Word

Job description

JPMorgan Chase is seeking a Business Analysis Associate I within Fraud Strategy and Analytics to drive data-driven fraud detection initiatives and protect clients. You will leverage advanced analytics, ML, and cross-functional collaboration to identify patterns, analyze complex datasets, and propose innovative solutions.

The role emphasizes governance, efficiency, and impact on enterprise fraud strategy. You will work with technology and ops teams, craft clear data analyses, and influence