Quantitative Platfrom Engineer

<p><span style="font-size: 10pt">We are a fast-growing FinTech firm leveraging cutting-edge technologies and quantitative methods in derivatives market. We work with some of the world's largest hedge funds and asset managers, providing analytics and execution for relative value, volatility, and macro strategies.</span></p> <p><br></p> <p><span style="font-size: 10pt">About the Role :</span></p> <p><span style="font-size: 10pt">As a Quantitative Developer, you will be a core contributor to the engineering and evolution of our trade analytics platform - the backbone of our pricing, screening, and execution workflows. </span><span style="font-size: 10pt">You will design robust, production-grade systems that serve traders, quants, and portfolio managers, and take ownership of platform reliability, data integrity, and performance at scale. </span><span style="font-size: 10pt">Derivatives domain knowledge is important but not critical. Strong platform instincts are what will define your impact here. </span></p> <p><br></p> <p><span style="font-size: 10pt">Responsibilities:</span></p> <ul> <li><span style="font-size: 10pt">Architect and develop components of our core analytics platform, including data pipelines, pricing services, and API layers consumed by research application. </span></li> <li><span style="font-size: 10pt">Design and implement scalable data ingestion and processing systems for financial and macroeconomic, data - with a focus on reliability, latency, and coverage. </span></li> <li><span style="font-size: 10pt">Build and maintain internal tooling and libraries that standardise how models, analytics, and trade signals are developed, tested, and deployed across the team.</span></li> <li><span style="font-size: 10pt">Own the software lifecycle of platform components: design, code review, testing, monitoring, and incremental improvement. </span></li> <li><span style="font-size: 10pt">Develop trade discovery and screening tools, ensuring they are performant, maintainable, and extensible. </span></li> <li><span style="font-size: 10pt">Collaborate with quants to translate analytical requirements into well engineered platform features -  acting as the bridge between research and production.</span></li> <li><span style="font-size: 10pt">Continuously improve platform observability, deployment practices, and developer experience.</span></li> </ul> <p><br></p> <p><span style="font-size: 10pt">Requirements:</span></p> <ul> <li><span style="font-size: 10pt">Bachelor's or Master's in Computer Science, Software Engineering, or a related technical discipline. </span></li> <li><span style="font-size: 10pt">Strong software engineering fundamentals: system design, clean architecture, testing, and code quality. </span></li> <li><span style="font-size: 10pt">3+ years of production experience in a platform, quant development, or data engineering role within financial services. </span></li> <li><span style="font-size: 10pt">Expert-level Python; familiarity with C++ or Rust is a plus for performance-critical components.</span></li> <li><span style="font-size: 10pt">Hands-on experience building and maintaining data infrastructure - time-series databases, data pipelines, and API services. </span><br></li> <li><span style="font-size: 10pt">Experience with pricing library or quantitative model implementation, ideally in a production rather than purely research context. </span></li> <li><span style="font-size: 10pt">Strong instincts around performance, reliability, and operational concerns in fast-moving trading environments. </span></li> <li><span style="font-size: 10pt">Clear communicator who can work effectively across trading, research, and engineering functions. </span></li> </ul> <p><span style="font-weight: bold"><em><span style="font-size: 10pt">If you care deeply about platform craft and want to apply it in a high-signal derivatives environment, we'd love to hear from you.</span></em></span></p>