Technology powers TransUnion’s promise to make trust possible by delivering secure, seamless and innovative technology to ensure each person is reliably represented in the global marketplace. In transforming for the future, its people are at the center, leading the change. Its tech strategy focuses on empowering talent through a learning environment with a broad range of development opportunities. And with 10 enterprise inclusion and belonging groups, TransUnion creates an environment where all associates feel welcome, respected and empowered to succeed. “TransUnion has a long history reflecting its commitment to innovation as well as celebrating our achievements as we embark on leveraging new technologies,” said team member Jenn Plowman.
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Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Drive revenue growth and deepen relationships with strategic financial services clients through consultative selling, account expansion, and executive engagement. Build and manage executive-level accounts, prospect new clients, lead account planning and cross-functional sales efforts, and serve as a trusted advisor to identify expansion opportunities and deliver customer-focused solutions.
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Support development of credit risk and business intelligence analytic solutions: build predictive models, extract and analyze large datasets, produce insights and presentations, partner with cross-functional teams, and support client engagements using statistical and big-data tools.
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Lead development and delivery of analytic solutions across credit, fraud, insurance, and marketing. Manage small teams and client engagements, design and deploy ML/DL models, implement model governance and monitoring, and translate technical work into business recommendations. Contribute to research, mentor junior staff, and support proposals through production deployments using R, Python, and big-data/cloud tooling.
