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- Tasks: Develop AI applications and build pipelines to enhance trading and investment processes.
- Company: Leading hedge fund in London with a focus on innovation.
- Benefits: Competitive salary, performance bonuses, and opportunities for direct impact.
- Other info: Exciting environment with potential for significant career growth.
- Why this job: Join a dynamic team and influence real investment decisions with cutting-edge AI.
- Qualifications: Degree in Science or Engineering and experience in AI/ML in finance.
The predicted salary is between 60000 - 80000 £ per year.
A leading hedge fund in London is seeking an exceptional AI Engineer to contribute to cutting-edge AI technologies enhancing investment and trading processes. You will develop AI applications, build end-to-end pipelines, and partner with portfolio managers.
Ideal candidates have a Science or Engineering degree and experience in AI/ML within financial markets. The position offers competitive compensation, including strong performance-based bonuses, and the chance to influence investment decisions directly.
Finance AI Engineer: Trading & Investment Research employer: DURLSTON PARTNERS
Contact Detail:
DURLSTON PARTNERS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance AI Engineer: Trading & Investment Research
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and AI sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research the hedge fund's recent projects and be ready to discuss how your skills can enhance their trading and investment processes. We want you to shine!
✨Tip Number 3
Showcase your projects! If you've worked on AI applications or pipelines, create a portfolio that highlights your best work. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Finance AI Engineer: Trading & Investment Research
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in AI and machine learning, especially in the context of financial markets. We want to see how your skills can enhance our investment and trading processes!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Finance AI Engineer role. We love seeing candidates who take the time to align their experiences with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity and brevity, so make sure your points are easy to understand and get straight to the point about your qualifications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at DURLSTON PARTNERS
✨Know Your AI Inside Out
Make sure you brush up on your AI and machine learning concepts, especially as they relate to finance. Be prepared to discuss specific algorithms you've worked with and how they've impacted trading or investment strategies.
✨Showcase Your Problem-Solving Skills
Expect to face technical questions that test your analytical thinking. Prepare examples of challenges you've tackled in previous roles, particularly those involving data pipelines or AI applications in financial contexts.
✨Understand the Hedge Fund Landscape
Familiarise yourself with the hedge fund's investment strategies and recent market trends. This will not only help you answer questions but also show your genuine interest in their operations and how you can contribute.
✨Prepare Questions for Them
Interviews are a two-way street! Think of insightful questions about their AI initiatives and how they collaborate with portfolio managers. This shows you're engaged and eager to be part of their team.