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- Tasks: Lead the transformation of a hedge fund into an AI-first powerhouse.
- Company: Join a $2bn+ award-winning hedge fund with a bold vision.
- Benefits: Flexible salary, excellent bonuses, and real influence on investment strategies.
- Why this job: Make a tangible impact in finance by applying cutting-edge AI technology.
- Qualifications: Proven experience in building AI systems and a strong tech background.
- Other info: Unique opportunity to shape the future of investing with AI.
The predicted salary is between 72000 - 108000 ÂŁ per year.
AI Specialist needed to build an AI-First Hedge Fund. We’re partnering with a $2bn+ global, multi-award-winning Long/Short Equity hedge fund that is making a very deliberate shift to become AI-first across the entire business. This is a mandate to transform how a hedge fund operates using AI, and fast!
They want someone who can lead from the front and build. If you’ve worked at a frontier AI lab and want to take that knowledge into the hedge fund arena, where speed, ownership and real-world impact matter, this could be an exceptional position. This is an opportunity to see the results of your work compound quickly, with direct influence on investment decisions, trading outcomes and firm-wide performance.
The mandate
A senior, hands-on position owning Technology Strategy & Infrastructure Development. You will be responsible for turning the firm into an AI-first hedge fund, maximising AI and machine learning across investment research, trading, risk and core business processes to create a sustained edge. This is a builder’s role with real authority and real accountability.
The tech landscape at present
The remit covers three core areas:
- 1 - Quant and Research Stack
Python-led environment
Data pipelines, modelling frameworks, experimentation tooling
Working directly with quants and investment teams - 2 - Trading and Execution Platforms
Day-to-day platforms used by traders
Performance, reliability, integration with research outputs
Enhancing execution and decision-making through data and AI - 3 - Proprietary In-House AI Platform
Greenfield internal AI solution
Ownership of architecture, models, tooling and deployment
Central to the firm’s AI-first strategy
Who this is for
They’re looking for an AI leader from a leading frontier lab or an exceptional AI business, not a caretaker. Hands-on experience building AI / ML systems in production. Experience creating AI platforms, not just consuming third-party tools. Exposure to hedge funds, asset management or high-performance tech environments. Ability to translate AI into commercial and investment impact. Confidence operating with PMs and senior investment leadership.
Why this is rare
Clear mandate from leadership. Direct influence across the front office and operations. Greenfield AI ownership inside an established fund. Proper budget, authority and backing. Opportunity to define what “AI-first” actually means in practice.
If you’re an AI genius who wants to build something unique within the Hedge Fund world, and you’re excited by applying AI at the sharp end of investing, let’s talk.
Head of AI, and Technology Strategy (Hedge Fund) employer: Amberes
Contact Detail:
Amberes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI, and Technology Strategy (Hedge Fund)
✨Tip Number 1
Network like a pro! Reach out to your connections in the hedge fund and AI space. Attend industry events, webinars, or meetups to meet potential employers and showcase your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your AI projects and achievements. This could be anything from GitHub repositories to case studies that demonstrate your impact in previous roles.
✨Tip Number 3
Prepare for interviews by understanding the firm’s current tech landscape. Research their existing AI initiatives and think about how you can contribute to their AI-first strategy. Tailor your insights to their specific needs!
✨Tip Number 4
Don’t forget to apply through our website! We’re all about connecting talent with opportunities, so make sure your application stands out and reflects your passion for building an AI-first hedge fund.
We think you need these skills to ace Head of AI, and Technology Strategy (Hedge Fund)
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how your experience and knowledge can transform the hedge fund landscape. Make it clear why you're excited about this role and how you envision making an impact.
Tailor Your CV and Cover Letter: Don’t just send a generic CV! We’re looking for candidates who can demonstrate their hands-on experience in building AI systems. Highlight relevant projects and achievements that align with our AI-first strategy, and make sure to connect the dots for us.
Be Clear and Concise: We appreciate clarity! When detailing your experience, be straightforward and avoid jargon overload. Use bullet points where possible to make your skills and accomplishments stand out. Remember, we want to understand your journey quickly!
Apply Through Our Website: Make sure to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Amberes
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI and machine learning trends, especially those relevant to hedge funds. Brush up on your experience with Python-led environments and be ready to discuss specific projects where you've built AI systems from scratch.
✨Showcase Your Leadership Skills
This role is all about leading the charge in transforming the hedge fund into an AI-first entity. Prepare examples of how you've successfully led teams or projects in the past, particularly in high-pressure environments. Highlight your ability to influence decision-making at senior levels.
✨Understand the Business Impact
Be ready to articulate how AI can drive commercial success in a hedge fund setting. Think about how your previous work has translated into real-world results, and be prepared to discuss how you would approach maximising AI across investment research and trading.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on your knowledge of data pipelines, modelling frameworks, and execution platforms. Be ready to explain your thought process and decision-making when it comes to building and deploying AI solutions.