Quantitative Developer - Enterprise Data
Our client is a global institutional-grade prime brokerage and credit network, providing clearing, financing, and risk management across both traditional and digital assets. You will help operate a technology-driven platform designed for real-time risk management across multiple venues and asset classes. Your primary responsibility will be to develop and maintain the reference data service, sitting at the nexus of engineering and owning the beating heart of the franchise. This is an opportunity to create the next-generation interface to the core data system, directly influencing mission-critical trading and risk infrastructure. You will work hands-on with modern technologies such as Python, AWS, Kafka, Redis, and GraphQL to build robust, production-grade solutions. Collaboration with top-tier engineers and quantitative specialists will be central to your role as you deliver tools that power trading and risk management.
Responsibilities
- Contribute to next-generation reference data systems, directly impacting decision-making and execution
- Shape the core data infrastructure by modelling new financial assets and derivatives for the enterprise reference data system
- Design and optimize ETL workflows for large-scale, high-performance environments
- Drive scalability and performance improvements in systems that power global trading operations
- Build ORM models and database solutions that ensure reliability and flexibility
Requirements
- Strong Python coding skills for production-grade systems
- 5+ years of software development experience at a top-tier firm
- BS or higher in Computer Science, Mathematics, or related field
- Experience with databases, ORM models, and ETL workflows
- Familiarity with AWS, Kafka, Redis, and GraphQL
- Background in financial reference data and large-scale systems
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