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StreetID Greater London, England, United Kingdom Software Engineer

StreetID Greater London, England, United Kingdom Get AI-powered advice on this job and more exclusive features. Direct message the job poster from StreetID We are seeking a highly skilled Quantitative Software Developer to join our front office technology team focused on building and enhancing risk platforms for a leading trading or investment firm. The ideal candidate will have strong expertise in Java development and deep experience working within quantitative or risk-focused environments, particularly in designing, developing, and optimizing systems that support real-time and end-of-day risk calculations. You will collaborate closely with quants, traders, and risk managers to develop scalable, high-performance platforms that process large datasets and support complex pricing and risk analytics across asset classes. Key Responsibilities Design, develop, and maintain Java-based risk platform components that support pricing, market data integration, and risk analytics. Collaborate with quantitative analysts and model developers to integrate risk models into production systems. Build robust data pipelines and interfaces for market data, trade data, and risk sensitivities. Ensure low-latency and high-throughput performance across the platform. Participate in architectural decisions for the evolution of the risk platform, including microservices, cloud migration, or messaging integration. Support daily operations and participate in the on-call rotation for production risk systems. Write clean, testable, and well-documented code; contribute to CI/CD practices. Required Qualifications Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field. 3+ years of experience in Java software development, ideally within financial services or a trading environment. Proven experience building or supporting risk platforms, pricing systems, or valuation engines. Strong knowledge of object-oriented programming, data structures, and design patterns. Familiarity with market risk, credit risk, or counterparty risk concepts. Experience with messaging systems (e.g., Solace, Kafka, or RabbitMQ) and distributed architecture. Solid understanding of multi-threaded and low-latency system design. Exposure to quant libraries, risk factor decomposition, or sensitivities is a strong plus. Seniority level

Seniority level Associate Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Financial Services, Banking, and Investment Management Referrals increase your chances of interviewing at StreetID by 2x Sign in to set job alerts for “Software Engineer” roles.

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