Vacancy expired!
TransUnion's Job Applicant Privacy Notice
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:- A Master's or Ph.D. in Statistics, Applied Mathematics, Operations Research, Economics or an equivalent discipline
- A minimum of 2 years of hands-on analytic experience in lending marketplace building research or analytic studies, benchmarking reports, statistical models, risk strategies, monitoring services, and/or other quantitative solutions
- Experience writing intermediate to advanced SQL queries for data extraction
- Excellent verbal and written communication skills; must be able to clearly articulate ideas to both technical and non-technical audiences
- Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously with evolving deadlines
- A demonstrated interest in the areas of banking, consumer lending and finance
- Highly analytical mindset with the curiosity to dig deeper into data, trends and consumer behavior to better understand why consumers act the way they do with their credit
- A high degree of technical aptitude and ability to run on multiple projects concurrently with minimal guidance
- Advanced proficiency with one or more statistical programming languages such as R, Python, or SAS
- Advanced experience with the MS Office suite, particularly Word, Excel and PowerPoint
- Dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as SQL, R, SAS, and Python on Linux and PC computing platforms)
- Translate complex analytical findings into business insights to be shared at industry conferences and potentially published with leading media outlets
- Serve as an internal expert on both traditional and short term lending credit data and how it applies to industry trends and current research
- Aid in formulating research problems based on real-world needs
- Deliver analytic insights and recommendations in succinct and compelling communications and presentations for internal and external customers at various levels including an executive audience
- Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of techniques (e.g. segmentation, regression, clustering, survival analysis, and machine learning)
Vacancy expired!