Jobs at Experian

Lead end-to-end MSME credit-risk analytics, including scorecard and predictive model development, bureau feature engineering, portfolio monitoring, validation, early-warning analysis, and proofs of concept. Translate analytical results into client-ready recommendations for banks, NBFCs, fintechs, and lenders. Own pre-sales solutioning, review analytical work, mentor analysts, and ensure strong governance, documentation, reproducibility, and implementation readiness.

Manage regulatory compliance activities, including stakeholder coordination, regulatory inspections, issue tracking, governance reporting, compliance testing, data requests, and regulatory advice. The role supports risk assessment, control recommendations, compliance training, regulatory monitoring, and development of strong relationships with business units, regulators, Legal, and Risk teams.

Leads Experian India's enterprise data strategy, governance, acquisition, partnerships, commercialization, and alternative-data initiatives. The role manages data ecosystems including Open Banking, Account Aggregator, DigiLocker, and consent-based frameworks while enabling product, analytics, risk, fraud, identity, lending, and commercial solutions. Responsibilities include data investment planning, licensing negotiations, data monetization, proprietary asset enhancement, regulatory compliance, strategic transformation, and collaboration with regional and global teams.

Deliver analytical consulting services, develop credit risk models using bureau and alternative data, advise on acquisition and credit-limit strategies, and translate technical findings into commercial value. The role requires advanced statistical and machine learning expertise, large-dataset analysis using Python and SAS, MSME lending knowledge, portfolio risk management experience, and the ability to manage complex projects and collaborate with business and technical teams.

Owns the full lifecycle of Experian bureau products, including product strategy, roadmap, market analysis, prioritization, development, launch, commercialization, adoption, and continuous enhancement. Partners with technology, data science, compliance, legal, sales, marketing, and global product teams to deliver data, analytics, API, and AI-powered solutions. Establishes KPIs, drives revenue growth, and ensures products meet customer, regulatory, and commercial objectives.

Manage, investigate, and resolve customer grievances across channels within SLAs and regulatory guidelines. Perform root-cause analysis, coordinate cross-functional teams, draft customer and regulator responses, maintain CRM records, report complaint trends and KPIs, and recommend process improvements to reduce complaint volumes and improve customer satisfaction.

Own Experian India's direct-to-consumer product portfolio, including strategy, roadmap, customer experience, growth, monetization, and delivery. Lead the full product lifecycle, create requirements, coordinate engineering and cross-functional teams, manage releases, develop pricing and go-to-market strategies, and build fintech partnerships. Ensure compliance with RBI, DPDP, governance, and security standards while driving consumer growth, revenue, engagement, retention, adoption, and ecosystem expansion.

Manage end-to-end credit bureau data ingestion, monitor processing pipelines, resolve failures and data-quality issues, coordinate with member institutions and internal teams, support regulatory reporting, and improve automation, reconciliation, rejection handling, and operational efficiency.

Own the sales cycle from prospecting through proposal, build predictable pipelines, and sell SaaS, risk, fraud, KYC, identity, and data solutions to Indian financial services and related clients. Identify and qualify opportunities, map customer needs to Experian decisioning solutions, lead consultative discussions with senior stakeholders, collaborate on demos and proposals, and drive cross-sell and upsell growth. The role emphasizes farming existing accounts while hunting for new business.

Analyze large datasets, build and maintain dashboards and reports, develop data models and KPIs, support forecasting and performance tracking, ensure data integrity, automate reporting, and present actionable insights to stakeholders.