Senior Data Scientist - Credit Risk at TransUnion
What We'll BringAt 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 BringMaster’s or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.
At least seven (7) years of professional experience within the Data Science field leveraging credit or financial services related data
Multiple examples of demonstrated success in client-facing roles over a period of at least three (3) years
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)
We’d love to see:
Ability to travel 10-20%
Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization;
Strong project management skills with the ability to manage multiple assignments effectively
A deep understanding of current industry challenges and trends at the level needed to proactively identify customers’ analytical needs and related business opportunities
Impact You'll MakeYou 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, telecommunications, collections agencies and retail banks.
You will design and lead client engagements involving descriptive, predictive, and prescriptive analysis leveraging a variety of techniques (such as segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis, and machine learning); this will involve delegating tasks to other team members and managing the team to meet deliverables on time
You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, SAS, SQL, Hive, and Pig on Linux, PC, and mainframe 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 serve as an advisor and partner to the senior management team: proactively seek out opportunities for innovation and present new ideas and solutions on behalf of the team