Custom Analytics Manager 2
TransUnion
Custom Analytics Manager 2
TransUnion
Credit reporting, risk analytics, fraud detection
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What We'll Bring:
At TransUnion, we are dedicated to finding ways information can be used to help people make better and smarter decisions. As a trusted provider of global information solutions, our mission is to help people around the world access the opportunities that lead to a higher quality of life, by helping organizations optimize their risk-based decisions and enabling consumers to understand and manage their personal information. Because when people have access to more complete and multidimensional information, they can make more informed decisions and achieve great things.What You'll Bring:
Impact You'll Make:
As a Manager II within our organization, you will join an esteemed team of statisticians, data scientists, mathematicians, and modelers committed to transforming information into actionable insights. This role offers the opportunity to contribute to diverse analytical projects and gain recognition for your achievements. TransUnion fosters a culture dedicated to lifelong learning, and as a Manager II, there are unlimited prospects for professional growth.
Key Responsibilities:
TransUnion Job Title
Manager II, Data AnalysisCredit reporting, risk analytics, fraud detection
TransUnion is a global information and insights company. It collects and analyzes data to provide services for businesses and consumers. For business clients, it offers credit portfolio management, marketing solutions, and fraud detection to help manage risk and make informed decisions. For consumers, it provides tools to monitor personal credit, including credit reports and scores. The platform supports enterprise use by enabling storage, identity resolution, and protection for building traditional and generative AI models. TransUnion generates revenue through three segments: U.S. Markets, International, and Consumer Interactive. Its goal is to help customers understand and manage credit risk, prevent fraud, and derive actionable insights from large data assets.
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