Role Summary

We are seeking an experienced 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. You will develop enterprise-grade backend services that handle mission-critical risk data and contribute to robust financial platforms.

Key Responsibilities

1. Design, develop, and enhance backend services and distributed systems supporting risk data and analytics platforms
2. Build and maintain scalable applications using Java (Spring / Spring Boot) and Python
3. Develop solutions for risk data ingestion, transformation, and processing pipelines
4. Contribute to system architecture, design reviews, and performance optimization
5. Work with large datasets to support risk calculations, reporting, and downstream analytics
6. Collaborate with risk, front-office, and data teams to translate requirements into robust technical solutions
7. Participate in code reviews, testing, and release processes ensuring high-quality delivery
8. Troubleshoot and resolve issues in production systems, focusing on stability and performance

Required Qualifications

1. Strong experience in Java (Spring / Spring Boot) and Python development
2. Proven experience building distributed systems and microservices architectures
3. Strong understanding of data structures, algorithms, and system design principles
4. Hands-on experience working with large-scale data processing systems
5. Experience with messaging frameworks (e.g., Kafka, MQ)
6. Strong working knowledge of Unix/Linux environments
7. Experience with XML and enterprise data integration patterns
8. Experience with modern development practices, including CI/CD pipelines, build and deployment processes, and unit and integration testing

Preferred Qualifications

1. Understanding of Global Markets products, including Rates, Credit, Equities, and Derivatives
2. Exposure to risk data flows and analytics pipelines within capital markets
3. Familiarity with risk reporting systems, trade lifecycle, and PnL workflows
4. Experience working in enterprise financial platforms or similar large-scale environments
5. Exposure to high-performance or low-latency systems
6. Experience with data streaming and real-time processing frameworks
7. Familiarity with cloud or containerization technologies (Docker, Kubernetes)
8. Prior experience in global banking or financial services environments

Experience

Approximately 9–15 years of software development experience, with flexibility for exceptionally strong candidates.