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.
Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we'll appreciate them.
What You'll Bring:
Master's or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor's degree in a quantitative field with at least five (5) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence.
Experience and demonstrated success in client-facing roles over a period of at least two (2) year as well as at least two (2) year of professional experience performing analytic work, preferably in the Insurance industry.
Strong analytical, critical thinking, and creative problem solving skills.
Advanced programming skill and aptitude; proficiency with statistical programs such as R or Python; experience with other programming and data manipulation languages (SQL, Hive, Spark, C/C++, Java, Ab Initio); high level of familiarity 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; evidence of initiative-taking.
Strong project and time management skills with the ability to manage multiple assignments effectively.
Interest in client-facing consulting roles and ability to travel 10-20%.
We'd love to see:
Proven ability to operate effectively under modest supervision in a complex and dynamic, matrixed environment.
Familiarity with credit bureau data and solutions.
Work experience in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing.
Impact You'll Make:
This position is responsible for supporting TransUnion International Insurance teams in developing analytic solutions.
You will partner with regional insurance teams to drive new business initiatives and deliver value-added solutions to local insurance carriers. These tasks will include development of predictive models and business intelligence solutions of moderate scope and complexity.
You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis for a variety of business use cases leveraging multiple analytic techniques. As a project leader, you will manage all aspects of the project from design, development, peer review, to implementation and audit.
You will participate in testing and adopting TransUnion's analytic products and services for global insurance carriers, applying your practical analytic experience to find areas of new value of TransUnion customers. In the context of these opportunities, you will interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support as needed.
You will design, write, and test programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, C++, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements.
You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels. You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.