The ideal candidate has a strong background in micro services and message-driven architectures, Azure cloud platforms, and a solid understanding of financial products, particularly equities and equity derivatives. The role also requires familiarity with automation frameworks and a good understanding of AI technologies, as the team is actively integrating intelligent systems to enhance trading operations and development workflows. You will collaborate with cross-functional teams to develop scalable, secure, and high-performance systems that support Financial Market Operations (Middle and back office). Key Responsibilities
- Develop and maintain responsive front-end applications using Angular.
- Design and implement scalable backend services and APIs using .NET (C#).
- Integrate RabbitMQ or Apache Kafka to enable reliable real-time data processing.
- Design and optimize SQL database schemas, queries, and stored procedures for performance and scalability.
- Deploy and manage applications in Azure and Linux environments.
- Work closely with business teams to translate functional requirements related to equities and equity derivatives into technical solutions.
- Contribute to the design and implementation of automation solutions to improve system reliability and development efficiency.
- Collaborate on projects involving AI technologies, such as intelligent data processing, anomaly detection, or automated decision support systems.
- Ensure code quality through best engineering practices, including testing and code reviews.
- Troubleshoot and resolve production issues efficiently.
- 5+ years of professional experience in .NET (C#) development.
- Strong hands-on experience with Angular for front-end development.
- Proven expertise with RabbitMQ or Apache Kafka.
- Solid understanding of SQL and NOSQL databases and performance optimization.
- Proficiency working in Linux environments.
- Practical experience with Microsoft Azure (App Services, Functions, Service Bus, etc.).
- Knowledge of financial market products, particularly equities and equity derivatives.
- Understanding of automation concepts and exposure to AI technologies.
- Strong analytical, problem-solving, and communication skills.
- Familiarity with Azure DevOps .
- Knowledge of Docker and Kubernetes.
- Practical exposure to machine learning frameworks, data engineering pipelines, or intelligent trading tools.
- Previous experience working in financial services or fintech environments.
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What We Do
Market Securities is one of the largest independent financial intermediaries in the world, providing institutional investors and experienced trading teams with superior market access, research, price discovery, and liquidity across asset classes. With desks specializing in equities, fixed income, FX, structured products, and derivatives, we connect investment banks, hedge funds, proprietary trading firms, and asset managers to the markets they need, with precision, speed, and a broker-first mindset. Our teams operate from eight key financial centers across Europe, North America, and Asia: London, New York, Paris, Madrid, Monaco, Dubai, Hong Kong, and Geneva. We also provide access to the Group’s Organised Trading Facilities in the EU and the UK. Founded by seasoned professionals, Market Securities is built on discretion, integrity, and independence, offering cross-asset solutions tailored to the needs of institutional clients.
