Data Science & Analytics Consultant, Financial Services

What We'll Bring:At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we're - consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.

• 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 two (2) 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 two (2) years
• Strong analytical, critical thinking, and creative problem solving skills
• Advanced programming skills; mastery of a statistical language such as R or SAS; experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C, Java); 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
• An understanding of current industry challenges and trends at the level needed to proactively identify customers' analytical needs and related business opportunities

• 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 US 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, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis).
• You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, SQL, Hive, and Pig on Linux, and PC computing platforms.
• 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 limited direct supervision.