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What We'll Bring:

What You'll Bring:

• 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 (e.g., 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
• 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

Impact You'll Make:

Skills & Experience:

• Degree, Master's Degree or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. A consistent track record of academic excellence.
• Professional experience (at least 1-2 years) performing analytical work in industries served by TransUnion, such as financial services, insurance, and digital marketing
• Expertise in one or more subject-matter areas or technical disciplines that would complement and significantly enhance TransUnion's existing data science capabilities. A consistent record of applying this expertise to achieve positive outcomes, and a drive to share with colleagues and business partners.
• Experience manipulating and analysing complex raw data from multiple sources
• Good programming skills; in-depth knowledge of R or Python; experience with other programming and data manipulation languages (e.g., SQL); proficiency with Linux and Microsoft Office tools.
• Experience of conducting detailed analysis, ideally in a credit risk environment
• Experience of working under own initiative to progress project work and work to deadlines.
• Outstanding analytical, critical thinking, and creative problem-solving skills.
• Thorough and analytical, with capability to identify and apply logic to solve problems.
• Ability to quickly adapt to the analytical tools and development approaches used within TransUnion
• Manage own workload and progress project work with limited support; Ability to multi-task
• Good communication and team working skills; Ability to manage day-to-day written and verbal communication internally and with clients
• Good time management skills (ability to multi-task)
• Attention to detail

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