Sr Analyst, Data Science & Analytics- Credit Risk Consulting
TransUnion (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 14–26 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy consumer credit models, predictive risk management, and business intelligence solutions for TransUnion’s US financial services clients.
- Lead analytic client engagements using techniques like logistic regression, survival analysis, and Monte Carlo simulation.
- Design and implement programs for data extraction and statistical analysis on large datasets using R, Python, SQL, Hive, and Spark platforms.
Minimum Requirements
- Bachelor's degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or related quantitative field.
- Minimum 5 years of professional analytic experience in Financial Services, consumer credit, or related industry.
- Proficiency in R and experience with programming/data manipulation languages such as SQL, Hive, Python; familiarity with Microsoft Office.
- Ability to travel 10-20%; hybrid work model requiring minimum two days per week onsite at assigned office.
Ideal Candidate Profile
- Experienced in designing and deploying consumer credit models within Financial Services, familiar with credit bureau data and lending/credit risk management.
- Able to operate independently within complex, matrixed, and fast-paced environments and deliver long-term value solutions for B2B customers.
- Comfortable working with large-scale modern big data frameworks (Hadoop, Spark, cloud) and mentoring junior colleagues.