Analytics and credit ratings platform for financial risk assessment
Crisil is a publicly traded analytics and ratings company majority-owned by S&P Global, operating across 1,000+ employees. The tech stack reveals a two-track modernization: legacy analytical depth (SAS, Oracle, SQL Server) coexisting with cloud-native infrastructure (AWS, Azure, GCP, Kubernetes, Docker) and emerging AI capabilities (OpenAI, Hugging Face, vLLM, RAG, GitHub Copilot). Active replacement of SAS and SQL Server tools, plus adoption of agentic AI systems and process automation, signals a shift toward programmatic risk assessment and faster borrower analysis workflows.
Notable leadership hires: Technology Director, Software Development Lead, Inside Sales Team Lead, Credit Analysis Lead, Technical Lead
Crisil provides credit ratings, research, risk analytics, and capital markets insights to financial institutions globally. Founded in 1987 as India's first credit rating agency, the company has expanded into four business units: Ratings, Intelligence, Coalition Greenwich, and Integral IQ. Operations span the Americas, Asia-Pacific, Europe, Australia, and the Middle East. The hiring profile—heavy in finance (320 open roles), engineering (151), research (136), and data (132)—reflects dual organizational focus: domain expertise in credit analysis and borrower reporting, paired with infrastructure and data engineering to support scale.
Core stack includes Java, Spring, Oracle, and legacy tools (SAS, SQL Server). Cloud infrastructure: AWS, Azure, GCP with Kubernetes and Docker. Data pipelines: Python, R, SQL. AI/ML: OpenAI, Hugging Face, vLLM, RAG. Adopting GitHub Copilot, pytest, OpenMetadata.
Headquartered in Mumbai, Maharashtra, India. Public company with 1,001–5,000 employees. Currently hiring across 7 countries: India, United States, United Arab Emirates, Colombia, Canada, United Kingdom, and Argentina.
Active projects include agentic AI systems, financial modeling, credit analysis and reporting, borrower credit reporting, process automation for risk workflows, and continuous model improvement. Focused on automating risk reporting and acquiring enhanced debt facility mandates.
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