Overview
In this leadership role, you guide the UK Investment Engineering team to design, build, and run front-office investment applications, balancing hands-on coding with people management. You shape technical requirements with stakeholders and oversee delivery across in-house and vendor platforms. You will work with global tech teams to uphold high engineering standards and drive impactful improvements in investment tech. A strong hook is the opportunity to blend architectural work with AI-enabled delivery at scale within a real estate investment context.
Pay / Benefits
- professional development opportunities
- supportive leaders
- vibrant and inclusive culture
- career opportunities across a scalable organization
- benefits and rewards to enhance well-being
- hybrid work with office anchor days
Responsibilities
- Lead and develop the UK Investment Engineering team of 6 engineers
- Partner closely with front office stakeholders to understand priorities, challenges, and opportunities
- Apply AI tools and techniques to improve software delivery, code quality, and engineering productivity
- Learn our technology architecture and systems, with a focus on investment management, trading systems, and the data lake
- Collaborate with the broader Engineering team to understand standards, practices, and architecture
- Perform technical analysis to identify root causes of issues and support timely resolution
- Design and implement technical changes and improvements across key applications and services
- Take an active role in coding, code reviews, and technical decision-making
Key requirements
- A degree in a financial, technological, mathematical, or scientific discipline, or equivalent practical experience with a strong analytical foundation
- Experience in an engineering or software development role within investment management, ideally with exposure to front-office teams
- Practical experience using AI tools in software development, with an understanding of how to apply them responsibly and effectively
- Current experience with C# and Python, and a genuine passion for software development
- Strong SQL skills
- Experience designing robust data flows and systems
- Strong, clear, and concise communication skills, both verbal and written
- A strong sense of responsibility and commitment to quality
- A self-driven, motivated work ethic
- A collaborative, energetic, and enthusiastic approach
- Strong communication
- Accountability and quality mindset
- Self-motivation and drive
- C#
- Python
- SQL
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