Responsibilities

• You will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging techniques such as segmentation and logistic regression.
• You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers.
• You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark.
• You will foster a high‑performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

Qualifications

• Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scie...