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What We'll Bring:
We aim high - and are reaching for new heights every day. This is a terrific time to join our team as we build on our commitment to integrity, service, reliability and innovation. These values stand behind the decisions we make every day, as well as our relationships at work and with the customers we serve. We believe in the power to achieve and are taking it in bold new directions.

A global leader in credit information and information management services, TransUnion gives businesses, consumers and the global community the power to achieve their goals. Businesses count on us to better manage risk and customer relationships. Consumers are able to better manage credit to achieve their financial goals. And in communities around the world we help build strong economies and give people the power to achieve their dreams.

• Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. A track record of academic excellence
• At least 8 years of professional experience performing analytic work in Financial Services or related industries
• Multiple examples of demonstrated success in client-facing roles over a period of at least 3 years
• Strong analytical, critical thinking, and creative problem solving skills
• Ability to lead data science analytics, leveraging machine learning techniques ( such as decision trees, logistic regression, linear regression and gradient boosting)
• 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
• Ability to travel 10-20%

• 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., decision tree, logistic regression, linear regression, gradient boosting and other machine learning algorithms).
• 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.