Sr Consultant, Financial Service Analytics
What we’ll bring:
· A welcoming and energetic environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile
· Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars
· Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius
· Deep technical expertise and an established reputation as an analytic solutions provider in the Financial Services industry
· Modern computing environment based on best-in-class “big data” technologies and the freedom to explore new data sources and statistical and machine learning methodologies
What you’ll bring:
· Master’s or PhD degree in statistics, applied mathematics, financial mathematics,
· At least four (4) years of professional experience performing analytic work in Financial Services
· Demonstrated success in client-facing roles
· Mastery of a statistical language such as R or SAS
· Experience using other programming and data manipulation languages (SQL, Hive, Pig, Python)
· Understanding of US consumer lending and credit risk management practices
We’d love to see:
· Ability to travel 10-20%
· Strong analytical, critical thinking, and creative problem solving skills
· Versatile interpersonal and communication style with the ability to work in a collaborative, fast-paced environment
· Strong project management skills with the ability to manage multiple assignments effectively
Impact you’ll make:
· You will partner with internal and external cross-functional teams to drive new business initiatives in the US financial services segment at TransUnion.
· You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle
· You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets
· You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience
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.