Identify Trends: Help connect business problems with data by performing guided analysis on fraud detection
Support Analysis: Assist in root cause analysis for specific fraud events to help the team improve coverage and efficiency
Blend Complex Data: Learn how to interact with different types of data structures and blend them together accurately and efficiently
Maintain Visibility: Help update and maintain dashboards that track key metrics like fraud loss performance
Observe system KPIs and flag performance shifts to senior team members
Assist in documenting data definitions and reporting logic to ensure team-wide consistency

Requirements

Currently pursuing a Bachelor’s degree in a quantitative field (e.g., Data Science, Economics, Computer Science, Statistics, or Data Analytics)
Basic to intermediate knowledge of SQL and Python
Familiarity with tools like Tableau, Power BI, Looker, or Excel
A natural curiosity for "solving the puzzle" and a strong attention to detail
A desire to work in a fast-paced team environment and the ability to take direction and feedback constructively
An interest in fraud typologies (Account Takeover, synthetic identity, etc.) and risk management is a plus

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondata analysisroot cause analysisdata blendingdashboard maintenanceKPI observationdata documentation

Soft Skills

attention to detailcuriosityteamworkconstructive feedback