Free financial platform serving 140M+ members across credit, lending, and insurance
Credit Karma operates a freemium financial services platform built on React, Java, Python, and Go, with heavy investment in data pipelines, BigQuery, and Kafka—infrastructure that reflects the company's shift toward real-time credit risk modeling and AI-driven lending products. The hiring mix is heavily skewed toward data roles (29 open positions) relative to engineering (13), signaling a transition from consumer-facing features toward algorithmic underwriting and fraud detection for new loan and mortgage products.
Credit Karma is a publicly traded financial services platform with over 140 million members globally. The company provides free credit monitoring, credit-score reports, and marketplace access to credit cards, personal loans, mortgages, auto loans, insurance, and savings accounts. Revenue is generated through lead generation and affiliate fees rather than direct subscription. The organization operates across seven offices (Oakland, Charlotte, Culver City, San Diego, London, Bangalore, New York City) with over 1,700 employees and is focused on expanding lending products—mortgages, auto loans, and short-term credit—which accounts for the current focus on credit risk modeling, fraud detection, and regulatory compliance for new underwriting engines.
React, Java, Python, Go, BigQuery, Kafka, Kubernetes, GraphQL, and Looker. The stack spans frontend (React, SwiftUI, Kotlin), backend services (Java, Python, Go, Node.js), event streaming (Kafka, RabbitMQ), data warehousing (BigQuery), and analytics (Looker, Tableau).
Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City. Current hiring is active in the United States, India, and United Kingdom.
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