Project Manager / Business Analyst - AI / ML

We’re hiring a Technical Project Manager / Business Analyst to join a growing Tech AI team within a global quantitative trading firm.

This role sits at the intersection of technology, AI, and business operations - driving projects that modernise internal systems using generative AI and machine learning.

What you’ll do

As this role sits within a newly formed, small team, it will initially be a hybrid position combining project management and business analysis. As the team scales, the scope and responsibilities may evolve over time.

• Lead end-to-end delivery of AI and ML initiatives, from discovery and requirements through to build, rollout, and adoption in live environments
• Act as the bridge between business stakeholders, engineers, and data teams, ensuring clarity on scope, feasibility, and delivery outcomes
• Translate business and operational needs into clear technical requirements, user stories, and delivery plans for AI-driven solutions
• Work closely with engineers on GPT-based workflows, RAG architectures, automation, and agent-style processes, ensuring solutions are scalable and production-ready
• Manage delivery plans, timelines, dependencies, risks, and third-party vendors, with a focus on reliability and execution quality
• Drive process improvements across AI development and deployment, including tooling, governance, documentation, and stakeholder engagement
• Communicate progress, trade-offs, and outcomes clearly to both technical and non-technical audiences, including senior stakeholders

What we’re looking for

• A minimum 5+ years’ experience in project management & business analysis roles within financial services, trading, or large-scale technology environments, with a proven track record of leading complex, cross-functional initiatives in high-performance, regulated, or mission-critical settings.
• Experience delivering AI or ML solutions in a commercial or enterprise environment, where outcomes were tied to operational efficiency, decision-making, or system improvement (not purely experimental work).
• Hands-on involvement translating business problems into applied AI solutions such as GPT-powered workflows, retrieval-augmented generation (RAG), automation, or agent-style processes.
• Exposure to end-to-end AI implementation, including requirements gathering, vendor or tooling evaluation, rollout, adoption, and iteration in live environments.
• Excellent stakeholder management and communication skills
• Experience working across SDLC in technical environments
• Degree in Computer Science, Engineering, Mathematics, Business, or similar

At this stage, visa sponsorship or relocation is not available for this role. Must have full working rights.