Senior Manager Data Science & Analytics

What We'll Bring:

This is an exciting time at TransUnion CIBIL. As we invest in our people, technology, and new business sectors, we're reimagining the role and purpose of a credit bureau.
The job involves leading the Consumer Modelling team, responsible for helping create next-generation analytical products in our Consumer and MFI bureaus. The role involves researching and analyzing various aspects of the commercial lending market, focusing on understanding the complex dynamics of the sector. A key part of the job is to transform insights into actionable strategies and revenue-generating solutions. To achieve these goals, the individual needs to work cooperatively with product/technology/operations teams.

What You'll Bring:

Roles & Responsibilities:-

• Manage the research and development of new analytics solutions in the area of Consumer and MFI lending, build generic products according to market demand and product roadmap, as well as custom solutions to help lenders, and monitor the performance of solutions to generate 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 regarding coding standards and documentation.
• Show initiative to learn new techniques/technologies to stay ahead of the curve.

Impact You'll Make:

Experience & Skills

• A bachelor’s degree in engineering/ analytics/ mathematics/ statistics.
• A master’s degree in business management/ economics/ statistics is preferred.
• At least 4 years of relevant experience.
• Extensive experience with predictive modeling; experience with risk scorecards is desirable.
• Strong proficiency in R, Python, Spark, Hive, SQL, Tableau, etc.
• Some team management experience is required.
• Functional experience in consumer lending is beneficial.

TransUnion Job Title

Consultant, Data Science, and Analytics.