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- Tasks: Join a dynamic team to build AI tools for trading using Python and LLMs.
- Company: A leading global hedge fund revolutionising its AI capabilities.
- Benefits: Competitive salary, bonus potential, and the chance to work in Central London.
- Why this job: Be at the forefront of AI integration in finance with impactful projects.
- Qualifications: BSc in STEM, strong Python skills, and experience with LLMs required.
- Other info: This is a unique greenfield opportunity with high visibility and ownership.
The predicted salary is between 80000 - 120000 £ per year.
A market-leading global hedge fund is building out its AI capabilities from the ground up and is hiring for its first AI Engineer to join its front-office engineering team. This is a greenfield opportunity to work directly with key stakeholders across multiple trading desks/pods, building internal Python-based research tools that leverage LLMs.
Our client is looking for someone who can take ownership, move fast, and help shape how AI is integrated into the trading floor. Projects typically run from 1 to 6 months, and the work is highly visible and impactful. You’ll be at the centre of a growing effort to scale AI tools across the business!
Desired experience:- BSc degree or higher in a STEM-related subject from a top university
- Strong coding abilities in Python, exposure to SQL would be advantageous
- Expertise and real-world experience working with LLMs and AI-driven tools
- Financial services experience would be a huge bonus but not essential
- Strong communication skills (will be facing off with PMs, traders, engineers, etc.)
The compensation package includes a base salary of c. £80,000 - £120,000 plus a discretionary bonus.
Click apply NOW!
Founding AI Engineer - Hedge Fund employer: evoke
Contact Detail:
evoke Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding AI Engineer - Hedge Fund
✨Tip Number 1
Network with professionals in the hedge fund and AI sectors. Attend industry events, webinars, or meetups to connect with people who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your expertise in Python and LLMs through personal projects or contributions to open-source initiatives. Having tangible examples of your work can set you apart during discussions with hiring managers.
✨Tip Number 3
Prepare to discuss how AI can be integrated into trading strategies. Familiarise yourself with current trends in AI within financial services, as this knowledge will demonstrate your passion and understanding of the role's impact.
✨Tip Number 4
Practice your communication skills by engaging in mock interviews or discussions with peers. Being able to articulate complex technical concepts clearly will be crucial when interacting with PMs and traders.
We think you need these skills to ace Founding AI Engineer - Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, LLMs, and machine learning. Include specific projects or roles where you've demonstrated these skills, especially in a financial context if applicable.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the opportunity to shape AI integration in a hedge fund environment. Mention how your background aligns with the company's goals and your ability to communicate effectively with various stakeholders.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving AI tools or financial services, be sure to include them in your application. Describe your role, the technologies used, and the impact of the project.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial for an engineering role.
How to prepare for a job interview at evoke
✨Showcase Your Technical Skills
Be prepared to demonstrate your coding abilities in Python during the interview. You might be asked to solve problems or discuss your previous projects involving LLMs and machine learning, so brush up on relevant concepts and be ready to explain your thought process.
✨Understand the Financial Context
Even if financial services experience isn't essential, having a basic understanding of how hedge funds operate and the role of AI in trading can set you apart. Research the company’s strategies and think about how AI can enhance their operations.
✨Communicate Effectively
Since you'll be interacting with various stakeholders, strong communication skills are crucial. Practice explaining complex technical concepts in simple terms, as you may need to convey your ideas to non-technical team members like PMs and traders.
✨Demonstrate Ownership and Initiative
This role requires someone who can take ownership of projects. Be ready to discuss instances where you've led initiatives or made impactful decisions in your previous roles. Highlight your ability to work independently and drive results in a fast-paced environment.
