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full stack developer net react quant background london hybrid
Full Stack Developer .NET & React Quant Background London, Hybrid
Source Technology Limited
Full Stack Developer Financial Services London, Hybrid We are seeking a Full Stack Developer with a strong quantitative or analytical background to help build and evolve a global analytics platform. This role is ideal for someone who enjoys working at the intersection of software engineering, data, and applied mathematics, and who is comfortable reasoning about complex systems, models, and workflows. The role has a balanced 50/50 split between C#/.NET backend development and React frontend development, and sits within a highly collaborative analytics team. You will work closely with traders, analysts and operations teams to design and deliver systems that turn large, complex datasets into actionable insights. This is a hands on engineering role rather than a purely UI or purely mathematical position, but a quantitative mindset and strong problem solving skills are essential. Key Details Industry: Financial Services Location: London, United Kingdom (Hybrid) Key Responsibilities Design, build, and enhance end to end analytics applications using C#/.NET on the backend and React on the frontend. Work across the full development lifecycle, from concept and modelling through to implementation, testing, and deployment. Collaborate directly with business users (traders, operators, analysts) to translate quantitative requirements and workflows into robust software solutions. Build performant, maintainable APIs and services that support data heavy and computation focused use cases. Develop intuitive, data driven user interfaces that expose complex logic and datasets in a clear, usable way. Contribute to design discussions, code reviews, and architectural decisions within a highly skilled global team. Deliver high quality, well tested code under time pressure while maintaining a strong focus on correctness and performance. Required Qualifications & Experience Bachelor's or Master's degree in Mathematics, Applied Mathematics, Engineering, Physics, or a similarly quantitative discipline, or Computer Science (or closely related). Up to 10 years of professional experience in software development (typically 4-9 years). Strong commercial experience with C# and .NET (ASP.NET Core, Web APIs), building backend services for enterprise or analytical systems. Strong experience with React and modern frontend development, with the ability to build clean, maintainable, data driven UIs. Solid understanding of data structures, algorithms, and computational problem solving. Experience working with relational databases and SQL (SQL Server, PostgreSQL, Oracle). Comfortable reasoning about numerical data, models, edge cases, and correctness. Experience working in agile/scrum environments. Strong communication skills and the ability to engage directly with technically minded and non technical stakeholders. Desirable (but not essential) Experience in quantitative, trading, commodities, or financial systems. Exposure to messaging or event driven architectures (Kafka). Experience with Reactive Extensions (Rx), async workflows, or concurrency heavy systems. Familiarity with GraphQL or gRPC. Background in building systems that support analytics, optimisation, or decision support use cases. What We're Looking For A developer who enjoys thinking deeply about problems, not just implementing tickets. Someone comfortable working with complex data and business logic, even if they are not a pure quant. A balanced engineer who values both backend correctness and frontend clarity. A pragmatic, delivery focused mindset with strong attention to detail.
23/07/2026
Full time
Full Stack Developer Financial Services London, Hybrid We are seeking a Full Stack Developer with a strong quantitative or analytical background to help build and evolve a global analytics platform. This role is ideal for someone who enjoys working at the intersection of software engineering, data, and applied mathematics, and who is comfortable reasoning about complex systems, models, and workflows. The role has a balanced 50/50 split between C#/.NET backend development and React frontend development, and sits within a highly collaborative analytics team. You will work closely with traders, analysts and operations teams to design and deliver systems that turn large, complex datasets into actionable insights. This is a hands on engineering role rather than a purely UI or purely mathematical position, but a quantitative mindset and strong problem solving skills are essential. Key Details Industry: Financial Services Location: London, United Kingdom (Hybrid) Key Responsibilities Design, build, and enhance end to end analytics applications using C#/.NET on the backend and React on the frontend. Work across the full development lifecycle, from concept and modelling through to implementation, testing, and deployment. Collaborate directly with business users (traders, operators, analysts) to translate quantitative requirements and workflows into robust software solutions. Build performant, maintainable APIs and services that support data heavy and computation focused use cases. Develop intuitive, data driven user interfaces that expose complex logic and datasets in a clear, usable way. Contribute to design discussions, code reviews, and architectural decisions within a highly skilled global team. Deliver high quality, well tested code under time pressure while maintaining a strong focus on correctness and performance. Required Qualifications & Experience Bachelor's or Master's degree in Mathematics, Applied Mathematics, Engineering, Physics, or a similarly quantitative discipline, or Computer Science (or closely related). Up to 10 years of professional experience in software development (typically 4-9 years). Strong commercial experience with C# and .NET (ASP.NET Core, Web APIs), building backend services for enterprise or analytical systems. Strong experience with React and modern frontend development, with the ability to build clean, maintainable, data driven UIs. Solid understanding of data structures, algorithms, and computational problem solving. Experience working with relational databases and SQL (SQL Server, PostgreSQL, Oracle). Comfortable reasoning about numerical data, models, edge cases, and correctness. Experience working in agile/scrum environments. Strong communication skills and the ability to engage directly with technically minded and non technical stakeholders. Desirable (but not essential) Experience in quantitative, trading, commodities, or financial systems. Exposure to messaging or event driven architectures (Kafka). Experience with Reactive Extensions (Rx), async workflows, or concurrency heavy systems. Familiarity with GraphQL or gRPC. Background in building systems that support analytics, optimisation, or decision support use cases. What We're Looking For A developer who enjoys thinking deeply about problems, not just implementing tickets. Someone comfortable working with complex data and business logic, even if they are not a pure quant. A balanced engineer who values both backend correctness and frontend clarity. A pragmatic, delivery focused mindset with strong attention to detail.
Hybrid Full-Stack Dev: .NET & React for Analytics
Source Technology Limited
Source Technology Limited is looking for a Full Stack Developer to join their team in London. In this role, you will utilize your skills in C#/.NET and React to develop and enhance a global analytics platform within a hybrid work environment. You will collaborate with various teams to turn complex datasets into actionable insights. The ideal candidate should have a strong background in quantitative or analytical disciplines and enjoy solving complex problems. This position offers opportunities to engage closely with business users and contribute to high-quality code.
23/07/2026
Full time
Source Technology Limited is looking for a Full Stack Developer to join their team in London. In this role, you will utilize your skills in C#/.NET and React to develop and enhance a global analytics platform within a hybrid work environment. You will collaborate with various teams to turn complex datasets into actionable insights. The ideal candidate should have a strong background in quantitative or analytical disciplines and enjoy solving complex problems. This position offers opportunities to engage closely with business users and contribute to high-quality code.

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