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Mid-level generalist data analyst role in Pune with broad toolset and known brand increases competition.
Credit risk and credit-bureau familiarity increases industry specificity, though core data skills remain transferable.
Explicit 2+ years plus required analytics tools and credit-risk domain experience increases shortlisting strictness.
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Support development of credit risk products and business intelligence analytic solutions for TransUnion’s Global B2B clients including credit card issuers, lenders, and banks.
Conduct analytic engagements involving descriptive and prescriptive analysis, segmentation, scenario and sensitivity analysis across consumer lending portfolio lifecycle.
Design and program data extraction, segmentation, and statistical analysis on large datasets using R, Python, SQL, Hive, and Spark on server and cloud platforms; deliver insights and recommendations to internal and external stakeholders.
Bachelor's degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or a related quantitative field.
At least 2+ years of professional analytic experience in Financial Services, consumer credit, or a related industry.
Proficiency in statistical programming languages such as R; experience with SQL, Hive, Python, and cloud/big data platforms preferred.
Hybrid work model requiring minimum two days/week in office; ability to travel 10-20%.
Experienced in credit risk management analytics within financial services or consumer credit domain, with familiarity of credit bureau data and business practices.
Capable of working independently with modest supervision in a complex, matrixed environment delivering analytic insights to senior stakeholders.
Skilled in advanced data programming, visualization tools (e.g., Tableau), and handling large-scale datasets with modern big data frameworks like Hadoop and Spark.