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Key skills for this role
• Partner closely with R&D and application development teams to research, design, prototype, and implement next-generation high-performance real-time analytics and market data solutions • Help build and enhance a market-leading portfolio management platform in close partnership with business users • Develop and support intraday analytics platforms used across the firm’s risk and portfolio management systems • Work across a range of technologies to deliver scalable, high-performance solutions for real-time trading and analytics workflows • Contribute to application development, project delivery, and platform architecture for highly scalable real-time systems
• 5+ years of experience in Python application development, with a strong understanding of Linux operating systems • Experience with grid scheduling and compute orchestration for real-time compute management at scale, including technologies such as SLURM • Strong understanding of event-driven architecture and experience with messaging and caching technologies such as Kafka, Solace, Pulsar, Memcache, and Redis • Experience building AI RAG and MCP agents • Experience with monitoring and observability tools such as Datadog and the ELK stack • Strong knowledge of database technologies, including advanced SQL, NoSQL, and time-series databases such as Kdb • Excellent grasp of data structures and algorithms, with the ability to learn and adopt new technologies quickly • Strong interest in financial markets and working directly with investment professionals; experience with large-scale real-time portfolio analytics tools, cloud platforms, containerization technologies such as Docker and Kubernetes, or multi-threaded C++ is a plus
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Full-time
Senior · 5+ years experience
Onsite
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