Senior Vice President, Full-Stack Engineer

This role is located in London or New York.

In this role, you’ll make an impact in the following ways:

• Design, build and deliver enterprise-grade AI-driven solutions, including machine learning and generative AI capabilities, to solve meaningful business problems and accelerate innovation.
• Work closely with Product, Sales, Trading and Operations stakeholders to translate business needs into practical, scalable and supportable technology solutions.
• Apply practical knowledge of modern AI frameworks, tooling and deployment patterns to support effective delivery.
• Support the delivery of solutions for a growing and strategically important business area, helping to scale capability, accelerate innovation and enhance business outcomes.
• Contribute to a culture of continuous improvement, innovation and AI-led development across the engineering team.
• Play a key role in advancing engineering best practices, using AI capabilities to improve productivity, quality and accelerate delivery.
• Work collaboratively in small agile teams to help elevate technology practices and consistently apply engineering best practices.

To be successful in this role, we’re seeking the following:

• Strong experience designing, building and delivering scalable technology solutions in Enterprise environments.
• Experience in machine learning or generative AI use cases, with the ability to apply these technologies to meaningful business problems.
• Strong understanding of how AI can be embedded across the software development lifecycle to improve engineering productivity, accelerate delivery and enhance solution quality.
• Keen interest in developing and adopting a modern, AI-driven SDLC, including AI-assisted design, development, testing, documentation and operational support.
• Ability to identify practical opportunities for AI-led automation and continuous improvement across engineering workflows.
• Strong Java and Python development skills in mission-critical application environments.
• Bachelor’s degree in computer science, engineering or a related discipline, or equivalent work experience, required.
• Experience in the financial services industry is a plus.