Senior Software Engineer - Risk Services Java / Python - CRISIL
Senior Software Engineer role on the Risk Services team within Global Markets. You will build scalable distributed systems using Java (Spring/Spring Boot) and Python, working with messaging frameworks (Kafka, MQ) and CI/CD pipelines to support risk data processing, analytics and reporting workflows.
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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)