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For Companies At a Glance
- Tasks: Lead AI strategy in investment management, enhancing decision-making and client engagement.
- Company: Global leader in investment management with a focus on AI innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of investing with cutting-edge AI technologies and make a real impact.
- Qualifications: Strong leadership in finance and tech, with expertise in AI frameworks and investment workflows.
- Other info: Join a dynamic team driving next-gen investment intelligence and enjoy international travel opportunities.
The predicted salary is between 72000 - 108000 £ per year.
We are seeking a senior leader to operate at the intersection of investment management and artificial intelligence, shaping the next generation of AI-powered capabilities for active investing. This is a rare opportunity to lead teams building agentic AI systems that materially enhance research, portfolio construction, risk analysis, and client engagement at institutional scale.
In this role, you will define and execute an AI strategy that augments human investors with autonomous systems that reason, plan, and act—accelerating insight generation, improving decision velocity, and unlocking new sources of alpha.
What You’ll Do
- Lead Execution of Investment AI Strategy
- Build and lead a high-performing team delivering agentic AI solutions that understand financial context, retrieve domain knowledge, and produce research-grade outputs.
- Own a portfolio of AI initiatives across the investment lifecycle, including internal builds, pilots, and vendor integrations.
- Define product roadmaps, assess feasibility, and drive accountability in close partnership with investment, data, and technology stakeholders.
- Operate an agile delivery model that rapidly experiments, iterates, and scales successful outcomes.
- Partner with Senior Investment Leadership
- Provide regular updates to senior leaders on progress, adoption, and business impact.
- Advise on AI feasibility, implementation strategies, and emerging capabilities relevant to investment management.
- Drive measurable efficiency gains and contribute to durable competitive advantage.
- Proactively identify execution risks and ensure delivery against key milestones.
- Advance Next-Generation Investment Intelligence
- Reimagine investment workflows through AI-native design.
- Partner directly with analysts, portfolio managers, and investment leadership to shape high-impact AI use cases.
- Translate complex investment processes into intelligent, scalable agentic solutions.
- Help modernize the investment platform through close collaboration across investment, data science, and technology teams.
- Lead Development of Agentic Systems
- Manage teams building agentic architectures that integrate LLMs, quantitative models, enterprise data pipelines, and real-time reasoning systems.
- Evolve team structures and capacity models to optimize delivery.
- Own safety, security, compliance, and observability of AI systems operating in production investment environments.
- Maintain deep awareness of emerging AI technologies, agentic patterns, and best practices.
How Success Is Measured
- Strength and depth of relationships across the investment organization.
- Demonstrable productivity gains from AI-enabled workflows.
- Contribution to improved investment outcomes and incremental revenue.
- Delivery of next-generation investment management capabilities.
Qualifications
Required
- Bachelor’s degree in Finance, Economics, or a quantitative discipline (e.g., Computer Science, Applied Mathematics, Statistics).
- Proven leadership experience spanning investment and technology teams.
- Proficiency in Python or R; hands-on familiarity with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, LangGraph).
- Strong prompt engineering skills and experience translating complex workflows into structured, agentic tasks.
- 7+ years of experience in investment management workflows (research, portfolio construction, trading, or related).
- Exceptional communication skills across technical and non-technical audiences.
- Willingness to travel internationally as needed.
Preferred
- Master’s or Ph.D. in a quantitative discipline.
- Experience with enterprise data platforms (e.g., Snowflake, Databricks, BigQuery).
- Experience evaluating or integrating third-party data, research, or AI vendors.
- 15+ years in investment management workflows.
- Knowledge of advanced RAG and multi-agent systems.
- Relevant certifications (Databricks GenAI, SnowPro GenAI, AWS ML).
- CFA charterholder or active candidate.
AI Solutions Manager employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the investment and AI sectors on LinkedIn or at industry events. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with AI solutions in investment management. This is your chance to demonstrate how you can add value.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing answers to common questions about AI strategy and investment workflows. The more comfortable you are, the better you'll perform.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Solutions Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Solutions Manager. Highlight your experience in investment management and AI, and don’t forget to showcase those leadership skills we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in investment management and how your background makes you the perfect fit for our team. Keep it engaging and personal.
Showcase Relevant Projects: If you've worked on any projects that involved agentic AI systems or investment workflows, make sure to mention them! We want to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Durlston Partners
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI technologies and frameworks relevant to investment management. Brush up on your knowledge of agentic AI systems, Python or R, and any specific tools mentioned in the job description. Being able to discuss these topics confidently will show that you’re not just familiar with the theory but can also apply it practically.
✨Showcase Your Leadership Skills
As a senior leader, you’ll need to demonstrate your ability to build and lead high-performing teams. Prepare examples from your past experiences where you successfully managed teams, drove projects, and collaborated with various stakeholders. Highlight how you’ve navigated challenges and achieved measurable outcomes in previous roles.
✨Understand the Investment Landscape
Familiarise yourself with current trends in investment management and how AI is reshaping the industry. Be ready to discuss how you would approach defining and executing an AI strategy that enhances investment workflows. This shows that you’re not only technically skilled but also have a strategic mindset.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and decision-making processes. Think about potential scenarios you might face in this role, such as managing execution risks or advising on AI feasibility. Practising your responses will help you articulate your thought process clearly during the interview.
