Software Developer - Clearing Technology

Role Summary

As a Senior Full Stack Developer specialising in C# .NET, you will be a pivotal member of our Software Development team in Clearing Technology, driving an AI‑first approach to the creation and enhancement of secure, responsive web‑based platforms. You will leverage modern AI‑assisted development tools and practices to accelerate delivery, improve code quality, and enhance developer productivity, while ensuring solutions meet the high standards of control, auditability, and reliability required within financial systems, including compliance with SOX (Sarbanes‑Oxley) requirements.

Your expertise as a full stack developer in C# .NET and Node.js will be instrumental in delivering robust, scalable, and well‑governed applications. You will maintain a strong emphasis on testing, traceability, and deterministic system behaviour.

• Design, develop, and test components of modern, secure web‑based post‑trade platforms, applying AI‑assisted development practices to improve quality and delivery speed.
• Contribute to the overall architecture and design of technology solutions, incorporating AI‑enabled tooling and automation while ensuring control, transparency, and auditability.
• Develop solutions to a high standard that are maintainable, testable, and aligned to acceptance criteria, with a strong emphasis on traceability and deterministic behaviour in regulated environments.
• Leverage AI tools responsibly across the software development lifecycle (e.g. code generation, testing, documentation), ensuring outputs are reviewed, validated, and compliant with engineering standards.
• Communicate effectively with team members, contribute ideas, and stay current with emerging technologies and modern engineering practices.
• Ensure delivered systems are production‑ready, secure, and well‑documented, supporting operational handover and ongoing audit requirements.
• Follow coding standards and defined development processes, ensuring consistency, quality, and compliance across all deliverables.
• Resolve third‑line support issues in a professional and timely manner, applying a structured and analytical approach to problem‑solving.

• Ensuring compliance with the company’s regulatory requirements under the FCA, NFA, AMF, AFM, MAS.
• Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with.
• Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values.
• At all times complying with the FCA’s Code of Conduct.
• To ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility.
• To report any breaches of policy to Compliance and/or your supervisor as required.
• To escalate risk events immediately.
• To provide input to risk management processes, as required.

• Experience in C# .NET, Node.js, React, JavaScript, Type Script.
• Experience leveraging AI‑assisted development tools (e.g. code generation, automated testing, developer productivity tooling) to improve delivery speed and quality.
• Strong understanding of applying AI responsibly within the software development lifecycle, ensuring traceability, auditability, and control.
• Experience with No
  
  SQL or RDMS databases.
• Infrastructure as Code, Terraform or equivalent.
• Modern CI/CD and Dev Ops practices.
• Cloud technology, ideally AWS (Amazon Web Services).
• Knowledge of BDD/TDD.
• Agile and scrum development methodologies.
• Methodical approach to software architecture and design and experience employing the right design choices for a given project.
• Excellent verbal and written communication skills.

• Understanding of financial products across derivatives, FX, commodities, cash equities or fixed income.
• Good knowledge of the post‑trade lifecycle, including confirmation/affirmation, allocations, settlement, clearing, collateral and margin, lifecycle events, reconciliations, and exceptions management.
• Exposure to embedding AI capabilities into end‑user applications (e.g. intelligent workflows, automation, or decision support).
• Experience with…