Quantitative Developer – Python

🚀The Opportunity

An established global hedge fund is looking to hire a senior Python engineer to build and enhance technology supporting its investment, trading and risk functions. This is a hands-on development role focused on Python engineering, distributed systems and quantitative applications, with direct interaction across Portfolio Managers, Traders, Quantitative Researchers and Risk professionals.

✅Key Responsibilities

• ✅Engineer scalable Python applications and backend services supporting trading, pricing and portfolio risk.
• ✅Develop robust APIs and integration frameworks connecting quantitative models with front-office applications.
• ✅Build and maintain distributed services that enable efficient access to complex financial calculations and investment data.
• ✅Integrate Python software with existing analytics engines and enterprise data platforms.
• ✅Deliver tools and integrations supporting Excel-based trading and risk workflows.
• ✅Work with investment professionals to translate quantitative requirements into reliable, production-ready software.
• ✅Improve system performance through concurrency, caching, profiling and computational optimisation.
• ✅Contribute to platform architecture, software quality, deployment and ongoing production stability.

🎯Requirements

• 🔹5+ years of professional software development experience, with advanced Python programming skills.
• 🔹Strong background in backend engineering, API development and distributed application architecture.
• 🔹Experience with REST APIs, Protocol Buffers, Kafka or comparable service communication technologies.
• 🔹Familiarity with integrating Python applications into C++ systems or high-performance computational environments.
• 🔹Experience developing or supporting Excel-integrated financial applications.
• 🔹Understanding of financial products and quantitative concepts such as pricing, valuation, sensitivities, portfolio risk and scenario analysis.
• 🔹Strong knowledge of software design, data structures, algorithms and performance optimisation.
• 🔹Professional experience within hedge funds, investment banks, proprietary trading firms or financial technology environments.
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