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Team Overview
This position will report into a Senior Manager Data Science and Analytics. You will apply your analytical skills to work on all aspects of the account lifecycle in the consumer credit domain on behalf of a diverse set of clients, ranging from marketing and propensity models for customer acquisition and retention, credit risk models for acquisition and account management, cross-sell applications, portfolio models for regulatory applications, event-based trigger solutions, and strategy analyses of various kinds. You will also develop complex analytic solutions directly with TransUnion customers, business partners and other departments.
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Role Overview and Core Responsibilities
- You will support analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, including model validation, monitoring and review, and leveraging a variety of techniques (e.g., segmentation, logistic regression, gradient boosted trees, survival analysis, principal component analysis, scenario and sensitivity analysis) as role develops.
- You will support the writing of programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and SQL.
- You will provide technical and non-technical support to building sales presentations, and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
- You will support the creation of analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
Required Knowledge and Experiences
- Bachelor Degree in statistics, economics, data science, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field with a track record of academic excellence
- 2+ years of relevant experience
- Strong analytical, critical thinking, and creative problem solving skills
- Foundational programming skills; experience in leveraging statistical language such as R or Python; experience using other programming and data manipul