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