Senior C# Engineer Risk Engineering

The Team

This is an outstanding opportunity to join one of the largest alternative asset managers. Technology is central to Mans business strategy and we are constantly evolving to stay ahead. Our culture embraces change and innovation with engineering at the heart of our operating platform.

We are seeking a Staff Engineer to join one of our Risk Engineering teams. This is a senior individual contributor role for someone who sets multi-year technical strategy and delivers it through direct implementation and broad technical leadership across the Man Risk Platform. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.

A great chance to collaborate and learn alongside highly skilled engineers whilst building up core investment risk and data engineering knowledge. New joiners will get the chance to work on the latest and best technologies for the challenges ahead.

Role Responsibilities

• Set and drive multi-year technical strategy for significant areas of the Risk Engineering platform aligning with business goals
• Lead the design and architecture of complex cross-team systems making decisions that minimise the cost of future change
• Deliver high-impact projects end-to-end from architecture through to production deployment and operational excellence
• Champion the software products of the Risk Engineering team and drive technical planning and project management
• Champion engineering best practices across multiple teams including CI/CD automated testing and scalable design patterns
• Conduct code reviews and provide deep technical guidance to engineers across the function
• Lead incident response and root cause analysis across systems
• Mentor and develop engineers fostering a culture of continuous learning and technical excellence
• Contribute to the evolution of our engineering culture and platform strategy

Key Competencies

Required

• Extensive professional experience in C#/.NET with a track record of delivering complex cross-team technical projects
• Deep understanding of system architecture and distributed systems design
• Proven experience shaping technical strategy making sound technical choices in ambiguous situations and driving alignment across teams
• Strong knowledge of database technologies (SQL Server ClickHouse MongoDB) including schema design query optimisation and performance tuning at scale
• Experience with data pipeline technologies (e.g. Kafka) in production environments
• Embracing agentic engineering ability to leverage AI-assisted development tools to accelerate delivery and drive adoption across the team
• Excellent communication and leadership skills with the ability to influence and drive consensus
• Passion for mentoring and developing engineering talent
• Strong advocate for collaborative development practices and continuous improvement

Advantageous but not required

• Experience with Python and its scientific ecosystem (numpy pandas scipy)
• Familiarity with containerisation (Docker Kubernetes) and workflow orchestration (Airflow)
• Experience with large-scale data platforms and data engineering at multi-terabyte scale
• Familiarity with financial market data risk management or quantitative systems development
• Track record of contributing to engineering culture tech talks open-source or conference presentations

Benefits

• Modern officelocatedintheOfficeXcampus with free parking easy transport access and onsite amenities
• Hybrid working model
• Generous parental leave
• Opportunities for professional development including internal tech talks and external conference attendance