What We'll Bring

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.

Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.

What You'll Bring

What You'll Bring:

A graduate degree in a STEM field with advanced coursework in statistics and machine learning or Associateship/Fellowship in the Casualty Actuarial Society.

8+ years of experience with statistical modeling and data mining using large and complex datasets. Experience with personal lines and commercial lines rating plan modeling is a strong plus. Knowledge of credit attributes is preferred but not required.

Deep professional expertise in one or more subject-matter areas or technical disciplines that would complement and significantly enhance TransUnion’s existing analytic capabilities. A consistent record of applying this expertise to drive positive outcomes, and a passion for sharing it with colleagues and business partners.

3+ years of people management experience. Ability to effectively manage own and associates' time while multitasking between multiple projects in a dynamic business environment with a variety of internal stakeholders, partners and customers.

Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (data, IT, product and sales) as well as third-party partners and customers (insurance companies).

Executive presence on high-level meetings. Credible functional expertise in P&C insurance and predictive analytics.

Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, GAM, GBM, tree models (CART, MART, CHAID), cluster analysis, principal components, and feature creation and validation.

Programming experience with SAS (STAT, macros, EM) and other statistical software (R, Python, SPSS, Matlab). Emblem experience is a plus.

Proficiency in Microsoft Office (Excel, Word, PowerPoint).

Ability to travel 10-20%.

Impact You'll Make

Independently leads data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and sales support.

Leads the group responsible for insurance application and claim fraud and other point-of-quote/bind solutions for auto and property lines. Explores internal and external data to create innovative new products to be implemented at a variety of insurance carriers.

Functions as an insurance analytics expert on meetings with customers (insurance companies) and partner companies.

Manages staff including goal setting, performance evaluation, effective resource allocation and career/skill development, hiring and training.

Utilizes advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs.

Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with clients and account teams on project/test results, opportunities, questions. Resolves problems and removes obstacles to timely and high-quality project completion.

Actively contributes to insurance analytics strategy by contributing ideas, preparing presentation/sales material for customers, and product design/business case materials for TransUnion leadership.

Follows industry trends in insurance and related data/analytics businesses. Contributes ideas and actively participates in the investigation and research of new processes, resources and technologies that can potentially be implemented to provide improved customer solutions or to broaden TransUnion's analytic consulting and related services capabilities.

Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects.

Travels to client and partner meetings as needed.