The intern will conduct data analysis, generate reports, assist in automating processes, and support client analytics, promoting TransUnion's services.
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What We'll Bring:
At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.
What You'll Bring:
- Preferably studying or holding a degree in Mathematics, Statistics, Quantitative Finance, Risk Management, Computer Science, or a related discipline.
- High degree of computer literacy and previous programming experience required; prior experience using statistical software such as SAS, R, and Python preferred.
- Proficiency in both English and Chinese.
- Previous experience with statistical-related projects.
- Ability to handle large datasets, perform analysis, and present findings internally.
- Basic knowledge of the credit lending market.
Impact You'll Make:
- Conduct data analysis and investigations to support client deliverables.
- Generate reports and update dashboards for ongoing projects.
- Assist in automating reporting workflows to improve efficiency.
- Support analytics and documentation for new risk score initiatives (EDDS, CVBKS 2.0, and DCS 2.0).
- Promote TU analytics services by addressing client data analytics needs.
- Prepare customized requirements requested by individual clients.
- Identify upselling opportunities by preparing market updates.
- Conduct market research on each member, including new promotions or product launches.
TransUnion's Internal Job Title:
Intern, Solutions ConsultingTop Skills
Computer Science
Mathematics
Python
Quantitative Finance
R
Risk Management
SAS
Statistics
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