Senior C Engineer – Risk Engineering

Tasks

- Set and implement multi-year technical strategy for key areas of the risk engineering platform, aligned with business objectives - Lead the design and architecture of complex, cross-functional systems—make decisions to minimize delivery costs and maximize efficiency - Deliver high-impact end-to-end projects from architecture to production deployment and operational excellence - Mentoring the risk engineering team and driving technical planning and project management - Promoting good engineering practices across multiple teams, including CIO/CVO, automated testing, and scalable design patterns - Continuously evaluating and providing deep technical expertise to engineers in the function - Leading response actions and root cause analysis of system failures - Mentor and develop engineers, fostering a culture of continuous learning and technical excellence - Contribute to the evolution of our engineering software and platform strategy

Requirements

Required:

• Extensive professional experience in C#/.NET with a proven track record of delivering complex, cross-team technical projects
• Deep understanding of system architecture and distributed system design
• Experience in designing technical strategy – making sensible technical decisions in unclear situations
• Familiarity with C++/Python and relevant technologies for scalable system designs
• Strong knowledge of database technologies (SQL, Server, ClickHouse, MongoDB), including schema design, query optimization, and large-scale performance optimization
• Experience with large-scale technologies (e.g., Kafka, Kinesis) in production environments
• Experience with cloud-native technologies (e.g., AWS, Azure)
• Enhancing the capabilities of existing engineers to leverage cloud-based development tools to accelerate delivery and human capabilities
• Excellent communication and leadership skills, with the ability to influence and promote consensus
• Passion for mentoring and developing engineering talent
• Strong desire for continuous development practices and continuous improvement

Advantages, but not required:

• Experience with Python and the scientific ecosystem (NumPy, pandas, scipy)
• Familiarity with containerization (Docker, Kubernetes) and workflow orchestration (Airflow)
• Experience with large-scale data platforms and ultra-large-scale data processing
• Familiarity with financial market data, risk management, or quantitative system development
• Trace of contributions to engineering culture – technical lectures, open source, or presentations

We offer

- Modern office in central London with free parking, easy transport access, and on-site amenities - Hybrid working model - Career framework - Opportunities for professional development, including internal lectures and external conference attendance - Comprehensive benefits package, including competitive vacation entitlement, pension/AVP, and long-term disability