Senior C Engineer

Tasks

As a Senior C Engineer at Man Group, you will be responsible for developing and implementing the technical strategy in the Risk Engineering department. Your main responsibilities include:

• Develop and implement a multi-year technical strategy for key areas of the risk engineering platform that aligns with business objectives
• Design and management of the architecture and design of complex, cross-functional systems to minimize the costs of future changes
• Ensure that high-quality projects are carried out from architecture through production to operational excellence
• Promotion of software products developed by the Risk Engineering team and oversight of technical planning and project management
• Promoting and improving best practices across multiple teams, including DevOps, automated testing, and cultural/design patterns
• Conducting code reviews and providing in-depth technical guidance to engineers in the role
• Leading technical research and deriving clear analyses across systems
• Mentoring and professional development for engineers to foster a culture of continuous learning and technical excellence
• Contribution to the Further Development of Our Engineering Culture and Platform Strategy

Requirements

To be successful in this role, you will need:

• Extensive professional experience in C#/.NET with a proven track record of successfully implementing complex, cross-functional technical projects
• Design and Implementation of System Architecture and Distributed System Design
• Proven experience in shaping technical strategy, which involves making well-informed technical decisions in uncertain situations and implementing them across teams
• Strong knowledge of .NET technologies (e.g., .NET Core, .NET Framework, ClickHouse, Hangfire), including schema design, query optimization, and performance optimization in production environments
• Experience with modern data technologies (e.g., Kafka, Kusto) to accelerate delivery and improve efficiency
• Ability to improve existing engineering work by using AI-powered development tools to accelerate delivery within the team
• Passion for mentoring and developing engineering talent
• Strong enthusiasm for continuous development practices and continuous improvement

Non-mandatory requirements

It would be helpful if you have experience in the following areas:

• Python and Its Scientific Ecosystem (Jupyter, pandas, sciPy)
• Containerization (Docker, Kubernetes) and Workflow Orchestration (Airflow)
• Insights into large-scale data platforms and data engineering at a multi-trade scale
• Familiarity with financial market data, risk management, or quantitative system development
• Track record of contributing to engineering culture, e.g., through technical talks, open-source projects, or conference presentations

We offer

We offer a comprehensive package of benefits, including:

• Hybrid working model
• Competitive