Senior Software Engineer - Risk Services Java / Python - CRISIL

We are seeking a Senior Software Engineer to join the Risk Services team within Global Markets . This role focuses on designing and building scalable, distributed systems that support risk data processing, analytics and reporting workflows . The ideal candidate will have strong experience across Java and Python-based backend systems , with a solid understanding of risk data flows, distributed architectures and enterprise-grade platforms . Key Responsibilities • Design, develop and enhance backend services and distributed systems supporting risk data and analytics platforms • Build and maintain scalable applications using Java (Spring / Spring Boot) and Python • Develop solutions for risk data ingestion, transformation and processing pipelines • Contribute to system architecture, design reviews and performance optimization • Work with large datasets to support risk calculations, reporting and downstream analytics • Collaborate with risk, front-office and data teams to translate requirements into robust technical solutions • Participate in code reviews, testing and release processes ensuring high-quality delivery • Troubleshoot and resolve issues in production systems , focusing on stability and performance Must-Have Skills • Strong experience in Java (Spring / Spring Boot) and Python development • Proven experience building distributed systems and microservices architectures • Strong understanding of data structures, algorithms and system design principles • Hands-on experience working with large-scale data processing systems • Experience with messaging frameworks (e.g., Kafka, MQ) • Strong working knowledge of Unix/Linux environments • Experience with XML and enterprise data integration patterns • Experience with modern development practices , including CI/CD pipelines, Build and deployment processes, Unit and integration testing Domain Experience (Preferred) • Understanding of Global Markets products , including Rates, Credit, Equities, Derivatives • Exposure to risk data flows and analytics pipelines within capital markets • Familiarity with Risk reporting systems, Trade lifecycle and PnL workflows • Experience working in enterprise financial platforms or similar large-scale environments Good-to-Have • Exposure to high-performance or low-latency systems • Experience with data streaming and real-time processing frameworks • Familiarity with cloud or containerization technologies (Docker, Kubernetes) • Prior experience in global banking or financial services environments Experience • Around 9–15 years of experience (flexible for strong candidates)