MRM- Senior Analyst, Data Science & Analytics
TransUnion (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 12–22 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and support credit risk management and business intelligence analytics for TransUnion’s clients, including custom client and internal monitoring reports.
- Design and implement data extraction, segmentation, and statistical analyses using R, Python, SQL, Hive, and Spark on large datasets and cloud-based platforms.
- Collaborate with cross-functional teams locally and internationally to enhance credit products through process optimization and automation.
Minimum Requirements
- Bachelor's degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or other quantitative field.
- At least 5 years of professional experience in data science and analytics within financial services or related industries.
- Proficiency in R or Python, SQL, and experience with big data tools such as Hive, Spark, or BigQuery.
- Hybrid work model requiring minimum two days per week onsite at an assigned TransUnion office.
Ideal Candidate Profile
- Experienced in credit risk model monitoring and validation, preferably with exposure to credit portfolio management across the credit lifecycle.
- Strong programming skills and familiarity with statistical and machine learning tools including regression, classification, and tree-based models.
- Ability to operate under modest supervision in a complex, dynamic, and matrixed environment with collaborative and cross-functional communication.