Sr Full Stack Engineer–Market Data Platforms (Python / gRPC / MongoDB)

We are looking for a Senior Full Stack Engineer to build and support market data platforms within a Global Markets environment. This role focuses on developing end-to-end solutions across UI, APIs and data layers, supporting critical market data analytics, distribution and usage workflows.

The ideal candidate will have strong experience in full-stack development, exposure to market data systems and the ability to operate in high-performance, production-critical environments.

Key Responsibilities

• Design, develop and maintain full-stack applications across UI, backend services and data layers

• Build and enhance market data platforms supporting analytics, distribution and consumption use cases

• Develop APIs and services using modern frameworks (including gRPC) for efficient data access

• Work with large-scale data stores (e.g., MongoDB, HBase) to manage structured and semi-structured market data

• Troubleshoot and resolve production issues, performing root cause analysis (RCA) and driving fixes end-to-end

• Translate ambiguous business requirements into practical, scalable technical solutions

• Collaborate with trading, analytics and data teams to deliver robust and aligned solutions

• Contribute to platform improvements, performance optimization and system scalability

Must-Have Skills

• Strong experience in full-stack development (UI, backend APIs, databases)

• Proficiency in Python or polyglot backend development

• Experience building and consuming APIs (REST / gRPC)

• Hands-on experience with NoSQL databases such as MongoDB, HBase, or similar

• Strong debugging and problem-solving skills in production environments

• Proven ability to own issues end-to-end, including RCA and resolution

• Experience working with large datasets and data-intensive applications

Domain Experience (Preferred)

• Solid understanding of Front Office trading environments, including Fixed Income, FX, Derivatives

• Strong knowledge of:

• Market data concepts and usage

• Trade lifecycle and data flows

• Risk and pricing dependencies on market data

• Experience working with enterprise trading and market data platforms

• Understanding of regulatory and compliance considerations in banking environments

Technical & Data Stack (Preferred)

• Experience with:

• MongoDB, HBase, or similar distributed data stores

• gRPC-based services for high-performance communication

• Familiarity with:

• Data modelling for market data schemas (metadata-heavy systems like FRTB taxonomies, instrument data, etc.)

• Integration with analytics and downstream systems

• Exposure to polyglot architectures and distributed systems

Good-to-Have

• Experience with market data platforms or vendor data systems

• Exposure to data streaming or real-time processing frameworks

• Familiarity with cloud or distributed infrastructure environments

• Prior experience in global banking or financial services environments