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 :
An graduate degree in the hard sciences with advanced coursework in statistics or similar areas
2+ years of professional analytical modeling experience, solving problems relevant to the problems we solve at TransUnion
Expert proficiency with one or more statistical programming languages such as R or SAS; additional experience writing intermediate SQL queries for data extraction preferred
Strong analytical, critical thinking, and creative problem solving skills
You are skilled at evaluating data and summary statistics to find the underlying insights, and to support the research project in the most fruitful direction.
It is a big plus if you can actually perform analysis yourself, with experience manipulating large datasets using SAS, R, or other analytical software.
You are an expert with the Microsoft Office product suite, particularly Word, Excel and PowerPoint.
You have a great sense of the BUSINESS QUESTION. You realize that data must be transformed into business intelligence to be meaningful.
You have a strong customer service orientation. You mean it when you ask, How can I be of service? You recognize that internal customers are as important as external customers.
Impact You'll Make :
This position is responsible for developing credit risk management and business intelligence analytic solutions through consulting engagements and research serving TransUnion’s clients.
This position requires an understanding of consumer lending and credit risk management practices.
Collaborate with internal and external partners to deliver innovative analytical products and insights. You will be directly involved in the development of predictive modeling and business intelligence solutions for clients such as credit lenders, insurance carriers, and other financial services institutions
Support the initiatives involving descriptive, predictive, and prescriptive analysis leveraging a variety of techniques (such as segmentation, logistic regression, survival analysis, principal component analysis, scenario and sensitivity analysis, and machine learning);
Dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as R, SAS, SQL, and Python on Linux and PC computing platforms)
Support the delivery of analytic insights and recommendations in succinct and compelling presentations for internal and external customers at various levels including an executive audience;
Help to cultivate an environment that promotes excellence, innovation, and a collegial spirit
Proactively seek out opportunities for innovation and present new ideas and solutions into the team