Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.
At least six (6) years of professional experience performing analytic work in Financial Services, consumer credit, or a related industry
Partner with internal and external cross-functional teams to lead new business initiatives and deliver long term value-added solutions to various TransUnion customers. These tasks will include -among others- the development of predictive models and business intelligence solutions of high complexity for customers within the various industries served by TransUnion.
Lead the development of analytical product spanning a large range of solutions: credit risk, affordability, fraud, open banking using traditional and/or the most advanced machine learning capabilities.
Develop such programs into packages/ libraries / workflows which can be shared across the TU DSA organization for the benefit of all.
You will lead and participate in projects with data scientists solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (eg, segmentation, logistic regression, etc) but also most advanced machine learning capabilities.
You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers.
Lead/Participate in client / product development engagements for DSA involving descriptive, predictive, and prescriptive aspects for a variety of business use cases leveraging multiple data science techniques.
You will deliver data science driven insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels.
You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
This role will be required to fit well within a lively and interactive team and quickly adapt to the analytical tools and development approaches used within the business area.
Liaise with Project Managers and Senior management to ensure analytics tasks progress to plan
Impact you'll Make:
Conduct detailed analysis, including: Scorecard and models development, affordability product development, portfolio review, monitoring and ad hoc analysis. Present back results of analysis to internal stakeholders/ external clients as needed. Produce deliverables / support documentation to required standards
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Job Classification
Industry: IT Services & Consulting Functional Area / Department: Data Science & Analytics Role Category: Business Intelligence & Analytics Role: Business Intelligence & Analytics - Other Employement Type: Full time