Fraud Analytics Associate I - Data, ML & Insights

JPMorgan Chase & Co.; Tampa (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Business Analysis Associate I to advance fraud prevention strategies using advanced data analytics. You will uncover patterns, analyze large data sets, and propose innovative solutions to improve fraud detection.

The role requires cross-functional collaboration and strong digital proficiency to streamline processes and interactions. You will influence strategic fraud risk decisions with actionable insights, leveraging your data literacy and collaboration across

Qualifications

• Must have data analysis capability and interpret complex datasets.
• 4+ years of relevant work experience in analytics or fraud/fraud risk.
• Advanced Microsoft Excel; proficient with PowerPoint, Visio, Word.
• SQL querying is a must; knowledge of Python or other programming languages is a plus.
• Experience with Tableau, Alteryx, Qlik/QlikSense or similar BI tools for analysis.
• Ability to craft clear prompts to guide data analysis and outcomes with LLMs.
• Experience using automation technologies to optimize processes.

Responsibilities

• Support day-to-day data analytics and delivery of enhanced fraud detection controls.
• Analyze complex data sets to support fraud prevention initiatives and strategic decisions.
• Perform data analytics, data mining, and predictive analytics.
• Deliver actionable reporting and insights for executive discussions.
• Mitigate risk through process improvement and root cause analysis.
• Collaborate with Technology and Operations to implement new fraud capabilities.
• Maintain governance, risk, and control environment.

Skills

Data analysis

SQL

Excel

Python

Tableau

Data mining

ML awareness

Stakeholder mgmt

Cross-functional

Education

Undergraduate or Master’s in Analytics/Data Science/Math/Finance/CS

Tools

AWS

JIRA

Job description

JPMorgan Chase & Co. is seeking a Business Analysis Associate I to advance fraud prevention strategies using advanced data analytics. You will uncover patterns, analyze large data sets, and propose innovative solutions to improve fraud detection.

The role requires cross-functional collaboration and strong digital proficiency to streamline processes and interactions. You will influence strategic fraud risk decisions with actionable insights, leveraging your data literacy and collaboration across