At a Glance
- Tasks: Lead AI adoption by creating tools and automations for investment teams.
- Company: Global asset manager focused on innovative AI solutions.
- Benefits: Salary up to £100k, private medical insurance, and 25 days annual leave.
- Other info: Hybrid work model with opportunities for ongoing training and development.
- 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 80000 - 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 Adoption Lead role at a tech‑driven, global Asset Manager with multiple billions of dollars under management.
As an AI Adoption 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 Adoption 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 together.
- 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 handled 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
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 Adoption Lead - Asset Manager in London employer: Client Server
Join a forward-thinking global Asset Manager in London, where innovation meets opportunity. As an AI Adoption Lead, you'll thrive in a dynamic and inclusive work culture that prioritises employee growth through ongoing training and development, alongside competitive benefits such as private medical insurance and enhanced parental leave. With a hybrid working model and a supportive team environment, this role offers the chance to be at the forefront of AI advancements while making a meaningful impact in the investment management sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Adoption Lead - Asset Manager in London
✨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 expertise in AI tools and automations. This not only demonstrates your capabilities but also gives 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 experience aligns with 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’re always looking for talented individuals who are passionate about AI. Make sure your application stands out by tailoring it to the role and showcasing your unique strengths.
We think you need these skills to ace AI Adoption Lead - Asset Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Adoption Lead role. Highlight your technical skills and experience in investment management, as well as any relevant AI toolsets you've worked with. We want to see how you can bring value to our team!
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 your understanding of business strategies and how you can optimise workflows.
Showcase Your Collaboration Skills:Since this role involves working closely with both technical and business teams, make sure to highlight your stakeholder management and collaboration skills. We love seeing examples of how you've successfully worked with diverse teams in the past!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. We can’t wait to hear from you!
How to prepare for a job interview at Client Server
✨Know Your AI Tools
Make sure you’re well-versed in the latest AI toolsets mentioned in the job description, like prompt engineering and agentic workflows. Familiarise yourself with tools such as OpenAI and AWS Bedrock, and be ready to discuss how you've used them in past roles.
✨Understand the Business Context
Before the interview, brush up on investment management and finance concepts. Be prepared to explain how your technical skills can optimise business strategies and workflows. This shows that you can bridge the gap between tech and business needs.
✨Showcase Collaboration Skills
Since this role involves working closely with both technical and business teams, think of examples where you’ve successfully collaborated across different departments. Highlight your stakeholder management skills and how you’ve facilitated communication between diverse groups.
✨Prepare Questions
Have a few insightful questions ready about the company’s AI initiatives and how they envision the role evolving. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.
