Dvp - Dsa Modeling - Mumbai, India - TransUnion
Description
TransUnion's Job Applicant Privacy NoticeWhat We'll Bring:
This is an exciting time in TransUnion CIBIL.
With investments in our people, technology and new business markets, we are redefining the role and purpose of a credit bureau.
The role will be leading the Consumer Modeling team responsible to support creation of next generation analytical products in our Consumer and MFI bureaus.
The role will be responsible to work on the research and analysis of various facets of commercial lending market with a focus on understanding the complex market dynamics surrounding the sector.
A key part of the job is to evaluate these insights into actionable strategies and revenue generating solution sets. To such ends, the individual needs to work collaboratively with product/technology/operations teams.What You'll Bring:
Handling research and development of new analytics solutions in the area of Consumer and MFI lending, build generic products as per market demand and product roadmap as well as custom solutions to support lenders, and monitor the performance of solutions to drive value for the company and its clients - Perform R&D on innovative analytics methodologies, products and data sources - Communicate results and recommendations and produce technical documentation of generic and custom products/solutions - Implement and follow best practices with respect to coding standards and documentation - Demonstrate self-driven initiatives to learn new techniques/technologies to stay ahead of the curve
Impact You'll Make:
- Bachelor's degree in engineering/ analytics/ mathematics/ statistics
- Master's degree in business management/ economics/ statistics will be an advantage
Min 12+ years of experience:
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Indian Banking experience must:
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Extensive experience with predictive modeling; exposure to risk scorecards must:
Strong proficiency in tools and technologies like R, Python, Spark, Hive, SQL, Tableau etc .
- Functional experience in consumer lending will be an advantage
Manager II, Data Science and Analytics
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