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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, diverse team environment.
- Why this job: Be a key player in AI adoption and make a real impact in finance.
- Qualifications: Strong technical background, experience with AI tools, and degree in a STEM discipline.
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 in Slough 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 in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. The more you engage with others, the better your chances of hearing about opportunities before they even hit the job boards.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your experience with AI tools and automations. This will not only demonstrate your technical prowess but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research the company and its AI initiatives, and think about how your background fits into their goals. Practise common interview questions and be ready to share specific examples of your past work.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace AI Enablement Lead - Investment Manager in Slough
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 tools, and any relevant experience in investment management to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for this role. Don’t forget to mention specific projects or experiences that showcase your skills.
Showcase Your Technical Skills: We’re looking for someone who’s tech-savvy, so be sure to include any relevant AI toolsets you've worked with, like OpenAI or AWS Bedrock. Mention any hands-on experience you have with prompt engineering or automations to demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
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 confidently about how AI can optimise these processes. Showing that you understand both the technical and business sides will impress your interviewers.
✨Showcase Collaboration Skills
Prepare examples of how you’ve successfully collaborated with both technical and non-technical stakeholders. Highlight your ability to bridge the gap between different teams, as this role requires excellent stakeholder management.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI initiatives and future plans. This shows your genuine interest in the role and helps you gauge how you can contribute to their goals effectively.