Senior Data Scientist — Financial Services Analytics

TransUnion; Chicago (IL); Hybrid; USD 68,000 - 113,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) with match

ESPP

Job summary

TransUnion is seeking a Data Scientist for its Financial Services Consulting team in Chicago. The role partners with internal and external teams to deliver data-driven value across consumer lending, credit, and collections.

You will lead analytics projects using descriptive, predictive, and prescriptive methods, and you will develop data pipelines using R, Python, and SQL. The position is hybrid with in-person work at a TU office for part of the week, focusing on scalable analytics and client

Qualifications

• Master’s or PhD in statistics, applied mathematics, financial mathematics, engineering or related quantitative field.
• At least 1 year of analytical work experience in Financial Services or related industry.
• Strong analytical, critical-thinking and problem-solving skills.
• Excellent communication across levels and with external stakeholders.

Responsibilities

• Lead analytic client engagements involving descriptive, predictive, and prescriptive analyses for FinTech, credit issuers, and banks.
• Develop data extraction, segmentation and statistical analysis Programs in R, Python, SQL.
• Create presentations with insights and recommendations for internal/external stakeholders.
• Mentor junior colleagues and contribute to cross-functional team initiatives.

Skills

R/Python

SQL

Hive

C/C++

Java

Analytical thinking

Communication

Education

Master's or PhD in quantitative field

Tools

SQL

Hive

Python

R

C/C++

Java

Job description

TransUnion is seeking a Data Scientist for its Financial Services Consulting team in Chicago. The role partners with internal and external teams to deliver data-driven value across consumer lending, credit, and collections.

You will lead analytics projects using descriptive, predictive, and prescriptive methods, and you will develop data pipelines using R, Python, and SQL. The position is hybrid with in-person work at a TU office for part of the week, focusing on scalable analytics and client