At a Glance
- Tasks: Build and improve AI workflows for analysing financial documents and develop data pipelines.
- Company: Global Hedge Fund in the vibrant West End of London.
- Benefits: High ownership, competitive salary, and exposure to cutting-edge AI applications.
- Other info: Join a small, high-impact team with excellent growth opportunities.
- Why this job: Tackle real-world AI challenges in a dynamic investment environment.
- Qualifications: 2-4 years experience, strong Python skills, and familiarity with LLM applications.
The predicted salary is between 70000 - 90000 £ per year.
We are a Global Hedge Fund based in the West End of London. We are hiring an AI / Machine Learning Engineer to help build an AI-assisted forecasting platform focused on Global bank equities. This is an exceptional opportunity within a successful and supportive investment team working in a well-established Hedge Fund. A terrific chance for the right candidate to contribute to the development of a leading-edge platform at the forefront of the investment process. This role sits at the intersection of LLMs, data engineering and fundamental investment research.
The system combines deterministic financial models with LLM-powered workflows that analyse earnings transcripts and other unstructured financial documents. The platform is already in use and now needs to scale from a small number of banks to 200+ names across multiple KPIs.
What you’ll do:
- Build and improve LLM-powered workflows for analysing earnings transcripts and disclosures
- Develop and optimise RAG / retrieval pipelines for unstructured financial content
- Build and maintain data pipelines from ingestion through to model outputs
- Help design evaluation, testing and monitoring infrastructure for LLM systems
- Contribute to the scaling of a live forecasting platform used in an investment context
- Work closely with the Portfolio Manager and Technical Lead in a small, high-impact team
What we’re looking for:
- Approx. 2–4 years’ experience
- Strong Python skills
- Experience building LLM applications beyond simple prompting
- Experience with data pipelines and SQL
- Familiarity with RAG / retrieval, unstructured text workflows, or document pipelines
- Good software engineering habits: version control, testing, maintainable code
- Strong problem-solving ability and a practical, hands-on mindset
Nice to have:
- Experience with LLM eval / debugging
- Agentic workflows
- Docker, cloud, API development
- Tools such as LangChain, LlamaIndex, MCP
- Interest in financial markets or company analysis
Why join:
- Work on a real applied AI problem in a live investment setting
- High ownership in a successful, small, high-performing team
- Opportunity to help scale a differentiated research platform from early stage to broad coverage
- Direct exposure to both technical and investment workflows
AI / Machine Learning Engineer (Hedge Fund) employer: NDA
Join our dynamic team at a leading Global Hedge Fund in the heart of London's West End, where innovation meets investment. As an AI / Machine Learning Engineer, you'll enjoy a collaborative work culture that fosters creativity and growth, with opportunities to make a significant impact on our cutting-edge AI-assisted forecasting platform. We offer competitive benefits, a supportive environment, and the chance to work alongside industry experts, ensuring your professional development in a fast-paced, rewarding setting.
StudySmarter Expert Advice🤫
We think this is how you could land AI / Machine Learning Engineer (Hedge Fund)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how important it is to make those connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and understanding LLM applications. We recommend working on some real-world projects or contributing to open-source to showcase your expertise. It’s all about demonstrating your hands-on experience!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your skills and interests. Tailor your approach to each company, showing them why you’re the perfect fit for their team.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We believe that showing genuine interest and appreciation can set you apart from other candidates.
We think you need these skills to ace AI / Machine Learning Engineer (Hedge Fund)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python skills, experience with LLM applications, and any relevant projects you've worked on. We want to see how you can contribute to our AI-assisted forecasting platform!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and machine learning in finance. Share specific examples of your work that align with our needs, like building data pipelines or optimising workflows. Let us know why you’re excited about this opportunity!
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—show us how you've used them to solve real problems. Whether it's debugging LLMs or developing retrieval pipelines, we want to hear about your hands-on experience and how you tackle challenges in a practical way.
Apply Through Our Website:We encourage you to apply directly 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. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at NDA
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific tools mentioned in the job description, like RAG and LLM applications. Brush up on your experience with data pipelines and SQL, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in your previous roles. Think about how you approached challenges in building or optimising workflows, and be ready to explain your thought process clearly.
✨Understand the Financial Context
Since this role is within a hedge fund, having a basic understanding of financial markets and company analysis can set you apart. Familiarise yourself with how AI can impact investment decisions and be prepared to discuss this during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about the team dynamics, the current challenges they face with the forecasting platform, or how they envision scaling the system. This demonstrates your enthusiasm and engagement.
