Assistant Manager - File to File Comparison at Transunion in Mumbai
- Company: Transunion
- Location: Mumbai - One World Center
- Job type: full time
- Workplace: onsite
- Posted: 2026-09-30
Job description
TransUnion's Job Applicant Privacy Notice Team Overview We are India’s leading credit information company and have established ourselves as a key anchor in the credit ecosystem of the country over the past 25 years. As an information and analytics provider, we aim to bridge the gap between stakeholders across multiple ecosystems. We use information for good by analyzing credit information to generate solutions for institutions and consumers. Our solutions facilitate easy access to credit for consumers and provide valuable insights to lenders when evaluating potential borrowers. We are in the business of building trust between organizations and consumers. It is our core belief that trust can help organizations and consumers transact with ease and help them achieve great things. We are committed to not just being an equal opportunity employer but also actively cultivating a culture of inclusion and belonging. We celebrate and respect the unique backgrounds and experiences that every individual brings to our team. Applicants are evaluated based on job qualification - not race, color, sex / gender, religion, caste, national origin, age, disability, marital status, citizenship status, sexual orientation, gender identity or any other status. We are committed to taking affirmative action to employ and advance minorities, women, and qualified disabled individuals. We ensure a safe, productive, and harassment-free workplace for all. We are committed to providing reasonable accommodation for individuals with disabilities throughout the application and employment process. Please contact us to discuss any accommodation you may need. Culture and Values Our culture is welcoming, energetic, innovative, and deeply committed to fostering an environment of belonging, where diverse perspectives and backgrounds are valued. There’s an overall synergy that flows throughout the company, creating a sense of connectivity, belonging and unity in knowing that we’re all working to achieve the same overall goal. Our core values which we live by every day are integrity, People, Customer, and Innovation. https://www.transunion.com/privacy/global-job-applicant What is excitement and passion for us? We define it as a blend of curiosity, ability to unlearn and yet continuously learn, able to connect with meaning and finally the drive to execute ideas till the last mile is achieved. This passion helps us focus on continuous improvement, creative problem solving and collaboration which ensures delivery excellence. Dynamics of the Role This is an exciting time at TransUnion CIBIL. With investments in our people, technology and new business markets, we are redefining the role and purpose of a credit bureau. We are establishing a new File-to-File comparison & insights practice within the Search & Match (S&M) team. This role will be critical in driving data-driven insights from bureau datasets, helping improve match quality, detect inconsistencies, and enable better client engagement. The incumbent will combine bureau data domain knowledge with strong technical and analytical capabilities, translating complex comparisons into actionable insights.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Role Overview And Core Responsibilities Perform large-scale file-to-file comparisons across bureau datasets to identify : Member-wise and portfolio-wise hit rate variations Missing / suppressed tradelines and fragmentation issues Excess tradelines indicating incorrect linkages or mixed files Variations in delinquency, vintage, and enquiry data Quantify discrepancies (%, trends, patterns) and build structured comparison frameworks Insight Generation Derive actionable insights from comparison outputs, including: o Root cause analysis of data inconsistencies o Identification of match quality gaps o Portfolio-level performance diagnostics T
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