Transunion

Overview

This position is responsible for supporting the development of fraud risk management and business intelligence analytic solutions serving TransUnion’s clients.

About Transunion

TransUnion is a global information and insights company with over 12,000 associates operating in more than 30 countries. We make trust possible by ensuring each person is reliably represented in the marketplace.

Requirements & Eligibility

• Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field
• At least one (1) year of professional experience performing analytic work in SaaS, Consulting or related industries
• Worked with advanced machine learning methods
• Fluent in Python and PySpark
• Passionate about LLMs, advanced analytics and data

Key Responsibilities

• Partner with state-of-the-art Fraud Analytics team to create cutting edge fraud solutions, extensively using graph technology to combat fraud
• Work on unique data sets with petabytes of volume to analyze and build meaningful model solutions
• Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience
• Identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services
• Foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand