Senior Software Engineer – Risk Services (Java / Python)

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