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- Tasks: Lead AI projects, collaborate with teams, and build practical AI tools for investment efficiency.
- Company: Global Asset Manager at the forefront of AI innovation.
- Benefits: Salary up to £100k, private medical insurance, 25 days leave, and ongoing training.
- Other info: Hybrid work model with a supportive environment and excellent career growth.
- Why this job: Join a diverse team and shape the future of AI in finance.
- Qualifications: STEM degree, experience with AI tools, and strong collaboration skills.
The predicted salary is between 100000 - 100000 £ per year.
Are you tech savvy, with a strong interest and desire to progress your career working with the latest AI innovations? You could be progressing your career in a hands-on AI Enablement Lead role at a tech driven, global Asset Manager with multiple billions of dollars under management.
As an AI Enablement Lead you will collaborate with users to understand the problems of the investment and business teams you are embedded in and build practical AI tools and automations with end users to help with efficiency, ensuring that training is delivered on AI toolsets to enable self-sufficiency. You'll work with other AI enablement leads and software teams to share learnings, best practices, align priorities and avoid duplication, staying at the forefront of a rapidly evolving AI landscape. This AI Enablement Lead is a great opportunity to be at the forefront of AI adoption within a global business.
Location / WFH: There's a hybrid work from home policy with three days in the London office per week where you'll join a supportive, diverse team environment with a large range of facilities.
About you:
- You have a strong technical background and a good understanding of how software, data and systems work.
- You have fluency with modern AI toolsets including prompt engineering, AI-assisted coding, MCP (Model Context Protocol), agentic workflows and the broader emerging AI stack.
- You have used tools such as OpenAI, Claude, AWS Bedrock etc.
- You have experience within an Investment Management / Finance environment.
- You're able to understand business and investment strategies, learn their workflows and quickly identify opportunities for optimisation.
- You have good judgement on when a local, on-desk solution is appropriate versus when a requirement should be handed to the aligned development teams.
- You have excellent stakeholder management and collaboration skills, comfortable talking to both business and technical users.
- You're degree educated in a STEM discipline.
What's in it for you:
- Salary to £100k
- Pension
- Private medical insurance including 24 hour GP access
- Enhanced parental leave policy
- 25 days annual leave
- Ongoing training and development and financial support for courses
Apply now to find out more about this AI Enablement Lead opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
AI Enablement Lead - Investment Manager employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Enablement Lead - Investment Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that AI Enablement Lead role.
✨Tip Number 2
Show off your skills! Create a portfolio or showcase projects where you've used AI tools like OpenAI or AWS Bedrock. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of investment strategies. Be ready to discuss how you can optimise workflows and collaborate effectively with both business and technical teams.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a chance to stand out from the crowd right from the start.
We think you need these skills to ace AI Enablement Lead - Investment Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Enablement Lead role. Highlight your technical background, familiarity with AI toolsets, and any relevant experience in investment management.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for this role. Share specific examples of how you've used AI tools to solve problems or improve efficiency in previous roles.
Showcase Your Collaboration Skills: Since this role involves working closely with both business and technical teams, make sure to mention any past experiences where you've successfully collaborated across different departments. We love seeing teamwork in action!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Client Server
✨Know Your AI Tools
Make sure you’re well-versed in the modern AI toolsets mentioned in the job description, like OpenAI and AWS Bedrock. Be ready to discuss how you've used these tools in past projects and how they can be applied to investment management.
✨Understand the Business
Familiarise yourself with the investment management landscape. Research common strategies and workflows so you can speak knowledgeably about how AI can optimise these processes. This will show your potential employer that you can bridge the gap between technical solutions and business needs.
✨Showcase Collaboration Skills
Prepare examples of how you’ve successfully collaborated with both technical and non-technical stakeholders. Highlight your ability to communicate complex ideas clearly and how you’ve facilitated training or knowledge sharing in previous roles.
✨Ask Insightful Questions
During the interview, don’t hesitate to ask questions that demonstrate your interest in the role and the company’s AI initiatives. Inquire about their current challenges with AI adoption and how they envision the AI Enablement Lead contributing to their goals.