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What We'll Bring:
The Financial Services Analytics team is an industry recognized, client-facing department that rewards an entrepreneurial spirit. We have deep technical expertise and an established reputation as an analytic solutions provider in the Financial Services industry. We have a wealth of data and industry experience within our large group of highly-trained analysts, statisticians, engineers, and economists. We also have a modern computing environment based on best-in-class "big data" technologies and the freedom to explore new data sources and statistical and machine learning methodologies. All of these resources will enable you to help us deliver next-generation analytic solutions for our customers.

• You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for B2B customers in the financial services segment at TransUnion. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies and retail banks.
• You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, principal component analysis, random forests and decision trees).
• You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, SQL and Hive.
• You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
• You will develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
• You will identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services.
• You will provide mentorship and training to junior colleagues and maintain progress on all initiatives under minimal direct supervision.
• You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

• Bachelor degree or above in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. A track record of academic excellence
• At least eight (8) years of professional experience performing analytic work in Financial Services or related industries
• Multiple examples of demonstrated success end-to-end model development over a period of at least five (5) years
• Strong analytical, critical thinking, and creative problem solving skills
• Advanced programming skills; mastery of a statistical language such as R or Python; experience using other programming and data manipulation languages (SQL, Hive); proficiency with Microsoft Office tools
• Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment
• Strong project management skills with the ability to manage multiple assignments effectively

• A deep understanding of current industry challenges and trends at the level needed to proactively identify customers' analytical needs and related business opportunities