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- Tasks: Lead AI projects in trading and risk management for top financial institutions.
- Company: Join a leading global financial services firm driving AI innovation.
- Benefits: Hybrid work options, competitive pay, and career advancement opportunities.
- Why this job: Make a real impact with cutting-edge AI technologies in finance.
- Qualifications: 4+ years in project management with a focus on AI and capital markets.
- Other info: Immediate start with dynamic projects throughout 2026.
The predicted salary is between 36000 - 60000 £ per year.
As we move into 2026, we have multiple opportunities with leading global financial services institutions based in the UK. These roles offer exposure to cutting-edge AI/GenAI initiatives within fast-paced environments in capital markets. Ideal for professionals seeking impactful work and career progression. We are looking for experienced AI Project Managers and technical leaders with front-office experience working for investment banks, hedge funds, and fintechs.
Location: UK-based (Typically London & Glasgow)
Right To Work: Must be eligible to work in the UK without requiring sponsorship
Engagement: B2B 6–12-month rolling contracts
Work Model: Hybrid and fully remote options available
Start Date: Immediate and throughout 2026
Key Responsibilities:
- Lead and manage AI/GenAI projects across trading, risk management, and analytics within capital markets.
- Define project scope, objectives, timelines, and deliverables aligned with business goals.
- Coordinate cross-functional teams including AI engineers, data scientists, and front-office stakeholders.
- Ensure compliance with regulatory, security, and governance standards throughout project lifecycle.
- Monitor project progress, manage risks, and communicate updates to senior stakeholders.
- Drive adoption of AI solutions and ensure successful integration into production environments.
Required Experience:
- Minimum: 4+ years in Project Management roles within technology or AI-focused initiatives.
- Domain Expertise: Strong experience in capital markets, front-office systems, or financial services (essential).
- Proven track record of delivering complex technology projects, ideally involving AI/ML solutions.
- Education: Relevant degree in Technology, Software Engineering or Project Management.
Core Skills:
- Project Management methodologies (Agile, Scrum, Waterfall).
- Strong stakeholder management and communication skills.
- Familiarity with AI/ML concepts and GenAI technologies (ideally with some hands-on coding experience).
- Risk management and regulatory awareness in financial services.
- Tools: JIRA, Confluence, MS Project, or similar.
- Experience managing projects involving LLMs, RAG pipelines, or AI-driven analytics.
- Knowledge of financial instruments, pricing models, financial markets and risk analytics.
- Familiarity with MLOps and data governance in regulated environments.
Why Apply?
- Work with major financial institutions on transformative AI projects.
- Exposure to the latest AI/GenAI technologies and frameworks.
- Enhance your CV with high-impact, front-office projects.
AI - Project Manager in London employer: Caspian One
Contact Detail:
Caspian One Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI - Project Manager in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share specific examples of your past projects, especially those involving AI/GenAI. Let them see how your experience aligns perfectly with what they’re looking for.
✨Tailor Your Approach
Every company is different, so make sure you tailor your pitch to each one. Research their current projects and challenges, and explain how your skills can help them tackle those issues. It shows you’re genuinely interested and proactive!
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through us not only gives you access to exclusive roles but also shows you’re serious about joining our team. Let’s get you on board!
We think you need these skills to ace AI - Project Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in AI project management and capital markets. Use keywords from the job description to show that you’re a perfect fit for the role.
Craft a Compelling Cover Letter: Your cover letter should tell us why you’re passionate about AI and how your background aligns with our needs. Share specific examples of your past projects and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t forget to mention your familiarity with AI/ML concepts and tools like JIRA or Confluence. Highlight any hands-on coding experience you have, as this will set you apart from other candidates.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at Caspian One
✨Know Your AI Stuff
Make sure you brush up on the latest AI and GenAI technologies relevant to capital markets. Be ready to discuss your hands-on experience with AI/ML solutions, as well as any projects you've led that involved these technologies.
✨Showcase Your Project Management Skills
Prepare to talk about your experience with different project management methodologies like Agile or Scrum. Have specific examples ready that demonstrate how you've successfully managed complex projects, especially in fast-paced environments.
✨Understand the Financial Landscape
Familiarise yourself with financial instruments, pricing models, and risk analytics. Being able to speak knowledgeably about these topics will show that you understand the domain and can effectively lead AI projects in this space.
✨Engage with Stakeholders
Highlight your stakeholder management skills during the interview. Be prepared to discuss how you've coordinated cross-functional teams and communicated updates to senior stakeholders, ensuring everyone is aligned throughout the project lifecycle.
