Data Science & Analytics Consultant - Auto Lending
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 graduate degree in the hard sciences with advanced coursework in statistics
4+ years of experience in credit policy, new account underwriting, credit risk management or equivalent training and experience in the financial services industry. Auto finance experience would be preferable
4+ years of professional statistical modeling experience. Must have knowledge of processes involved in the development of models that can be used to predict risk or marketing outcomes
Expert proficiency with one or more statistical programming languages such as R or Python; additional experience in writing SQL queries for data extraction preferred
Strong written and verbal communication skills: ability to clearly articulate ideas to both technical and non-technical audiences, strong presentation skills with comfort presenting to executive audiences
Efficient time and project management skills with the ability to oversee and manage project teams to meet project deliverables inclusive of delegating work, setting clear goals, and managing customer expectations
Impact You'll Make
The Auto Finance Data Science & Analytics Consultant is a highly visible position responsible for contributing to a broad range of client engagements and collaborating with the Auto Finance business to execute new solution ideas. The role contributes to new revenue growth by generating solutions and market insights for new and existing Auto Finance clients.
Design and lead projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of techniques (such as logistic regression, machine learning , segmentation, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis); this will involve delegating tasks to other team members and managing the team to meet deliverables on time
Help to cultivate an environment that promotes excellence, innovation, and a collegial spirit
Serve as a subject matter expert on the team and act as a mentor to more junior team members
Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers at various levels including an executive audience; may lead key presentations to clients
Dig in by extracting data and performing statistical analyses on large population datasets (using languages such as R, Python, and SQL)
Collaborate with internal and external partners to deliver innovative analytical products and insights. You will be directly involved in the integration of third-party data to enhance our TU auto finance solution suite
#DICE