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- Tasks: Drive AI-enabled workflows in equity investment, collaborating with teams to enhance research and decision-making.
- Company: Join a leading financial services firm at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of investing with cutting-edge AI tools and make a real impact.
- Qualifications: 3+ years in AI/ML and 2+ years in product management, with strong investment knowledge.
- Other info: Dynamic role with a focus on collaboration and continuous improvement in a fast-paced environment.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking a Product Manager to work closely with our AI Engineering Lead, to drive the strategic development and adoption of AI-enabled workflows across the Fundamental Equities investment process. This role sits at the intersection of AI/ML, portfolio management, and product development, requiring enough technical depth to work with AI practitioners and vendors, and strong investment acumen to turn AI capabilities into tangible improvements in research quality, speed, and PM decision-making. The successful candidate will be responsible for defining, prioritizing, and delivering AI-enabled tools and use cases that directly support fundamental Long/Short investing – from idea generation and research to risk management and portfolio construction. This position requires a deep understanding of fundamental equity research workflows and the ability to translate complex AI concepts into intuitive, high-value products for investors.
Key Responsibilities
- Serve as primary liaison between AI/engineering teams and Fundamental Equities L/S PMs and analysts to identify, refine, and prioritize AI use cases across the research and portfolio management lifecycle.
- Define product vision, roadmaps, and detailed requirements for AI-enabled PM and analyst tools (e.g., research copilots, document intelligence, signal discovery, workflow automation).
- Oversee design, delivery, and integration of AI solutions into existing PM tools, research platforms, and data environments to ensure seamless day-to-day use by investment teams.
- Develop and maintain clear, PM-facing documentation and guidance for AI tools, including use cases, limitations, evaluation frameworks, and best practices.
- Lead end-user trainings, demos, and feedback sessions with PMs and analysts to drive adoption, collect insights, and continuously improve product fit.
- Monitor industry trends, competitive landscape, and emerging AI techniques relevant to fundamental equity Long/Short investing, and translate findings into a forward-looking product pipeline.
Qualifications
- 3+ years working with AI, ML, or advanced analytics solutions in investment or financial services contexts.
- 2+ years of product management or closely related product ownership experience.
- Strong understanding of fundamental equity investing and the day-to-day research workflows of Long/Short PMs and analysts (idea generation, modeling, risk management, portfolio construction, and monitoring).
- Experience working directly with fundamental equity investment professionals and demonstrating the impact of tools/technology on their investment process.
- Ability to engage in technical discussions with AI/engineering teams (e.g., LLMs, model evaluation, data quality) and distill those concepts for non-technical stakeholders.
- Excellent written and verbal communication skills, including comfort presenting to senior investment leadership and running hands-on sessions with PMs and analysts.
- Strong problem-solving and product thinking skills, with a track record of turning loosely defined investment problems into shipped, adopted solutions.
- Experience or strong interest in scaling AI capabilities across an enterprise PM and research tools ecosystem.
AI Product Manager - Equities Technology. in London employer: Millennium Management
Contact Detail:
Millennium Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager - Equities Technology. in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even casual coffee chats. The more people you know, the better your chances of landing that AI Product Manager gig.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share specific examples of how you've used AI in investment contexts. This will show them you’ve got the chops for the role.
✨Ask Smart Questions
During interviews, come prepared with insightful questions about their AI initiatives and product vision. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Product Manager - Equities Technology. in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Product Manager. Highlight your experience with AI, ML, and product management, and don’t forget to showcase your understanding of fundamental equity investing. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in finance and how your background makes you the perfect fit for this role. Keep it engaging and relevant to the job description – we love a good story!
Showcase Your Communication Skills: Since this role involves liaising between technical teams and investment professionals, make sure your application reflects your ability to communicate complex ideas clearly. Use examples from your past experiences where you’ve successfully bridged that gap.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Millennium Management
✨Know Your AI Stuff
Make sure you brush up on your AI and ML knowledge, especially as it relates to investment processes. Be ready to discuss how these technologies can enhance research quality and decision-making in fundamental equities.
✨Understand the Investment Workflow
Familiarise yourself with the day-to-day workflows of Long/Short PMs and analysts. Knowing the ins and outs of idea generation, risk management, and portfolio construction will help you demonstrate how AI tools can fit seamlessly into their processes.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. You’ll need to bridge the gap between technical teams and investment professionals, so being able to articulate ideas clearly is key to showing your value.
✨Showcase Your Product Management Skills
Be prepared to discuss your experience in product management. Highlight specific examples where you've defined product vision, prioritised features, or led user training sessions. This will show that you can drive the adoption of AI tools effectively.