Investment Engineering Team Manager

Company: Marsh & McLennan Companies
Apply for the Investment Engineering Team Manager
Location: London
Job Description:

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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Posted: October 12th, 2026