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Global brand, generalist data role title, Pune metro location, and broad skillset requirements increase competition.
Core data science skills are transferable but credit-risk and credit-bureau familiarity raise industry specificity.
Moderate filters: quantitative degree and programming/analytics skills required, but no strict years mandate.
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Develop and deliver credit risk management and business intelligence analytic solutions for TransUnion’s clients globally.
Design and write data extraction, segmentation, and statistical analysis programs using R, Python, SQL, Hive, and Spark on server and cloud platforms.
Partner with cross-functional teams to drive new business initiatives and present analytic insights to both internal and external stakeholders, including executives.
Bachelor’s degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or a related quantitative field.
Proficiency in R and strong programming skills; experience with SQL, Hive, Pig, Python, C/C++, or Java preferred.
Work Experience Required: Minimum 6 months of professional or internship analytic experience in Financial Services or related industries preferred but not strictly mandatory.
Ability to travel 10-20%; position requires hybrid work with a minimum two days per week in assigned office.
Experience developing predictive credit risk and business intelligence solutions, especially for credit issuers, lenders, or collections agencies.
Ability to operate with modest supervision in a complex, dynamic, and matrixed global environment.
Familiarity with big data frameworks (Hadoop, Spark, cloud) and visualization tools like Tableau, plus advanced Excel skills for detailed analytical reporting.