Job Description

Salary: $90,000 - 150,000 per year Requirements:

• Masters or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another quantitative discipline with a proven academic record
• Minimum of four (4) years of professional experience in analytical roles within Financial Services or similar fields
• Demonstrated success in client-facing roles for at least three (3) years
• Advanced programming abilities; expertise in a statistical language (R or SAS) and experience with programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java); knowledge of relational, MPP, and/or Hadoop data management frameworks; strong proficiency in Microsoft Office tools
• Adaptable interpersonal and communication skills to connect effectively at various organizational levels; ability to collaborate in a dynamic environment
• Excellent project management capabilities to manage several tasks efficiently

• Partner with cross-functional teams, both internal and external, to foster new business initiatives and deliver valuable product offerings to B2B customers in the US financial services sector
• Lead analytic client engagements involving descriptive, predictive, and prescriptive analysis throughout the consumer lending portfolio lifecycle using various analytical techniques (segmentation, logistic regression, survival analysis, etc.)
• Design and implement programs for data extraction, segmentation, and statistical analysis on extensive datasets using programming languages like R, SAS, SQL, Hive, and Pig on multiple computing platforms
• Present analytic insights and recommendations compellingly for both internal and external audiences, including executives
• Create project proposals, sales presentations, and promotional materials to support the acceptance of integrated customer solutions from TransUnion
• Identify strategies for clients to trial and embrace TransUnions analytic products and services
• Mentor junior team members while providing guidance on ongoing projects with minimal direct supervision
• Cultivate a high-performing culture that encourages excellence and aligns with the TransUnion brand

• Hadoop
• Hive
• Support
• Java
• Python
• SAS
• SQL
• Big Data
• Business Intelligence
• Linux
• Machine Learning
• Marketing

More:

At TransUnion, we are dedicated to creating a professional atmosphere where our associates take charge of their career progression, yet receive the support they need to succeed. Our culture promotes exploration and innovation with advanced technologies and unparalleled resources, enabling team members to refine existing skills and develop new ones. We invite you to join an established, client-facing Financial Services Analytics team recognized for its deep technical expertise and innovative solutions. This hybrid role offers flexibility, combining virtual and in-person work, allowing our team to engage collaboratively while driving impactful analytic solutions in the consumer credit domain.

last updated 14 week of 2026

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