Consultant, Data Science and Analytics(Credit Risk)
TransUnion (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 16–28 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead analytical client projects using techniques such as segmentation, logistic regression, machine learning, and scenario analysis to improve credit risk and portfolio performance.
- Develop and deliver analytic insights and recommendations through presentations to internal and external stakeholders.
- Design and implement programs for model development, monitoring, strategy evaluation, and large-scale data analysis using R, Python, SQL, Spark, and cloud platforms; mentor junior team members.
Minimum Requirements
- Master's degree in statistics, applied mathematics, financial mathematics, operations research, or a related quantitative field.
- At least 5 years of professional experience in advanced analytics within financial services, consumer credit, or related industry.
- Working knowledge of consumer lending, credit risk management, and credit bureau data.
- Hybrid work setup requiring minimum two days per week in assigned TransUnion office location.
Ideal Candidate Profile
- Experienced in applying statistical and predictive modeling to actionable business decisions in credit risk or consumer finance domains.
- Proven ability to manage multiple priorities and projects in a fast-paced, collaborative, matrixed environment.
- Strong communication skills capable of effectively engaging stakeholders at various organizational levels internally and externally.