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. 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.
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Job Type
Full-time
Career Level
Senior