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- Tasks: Advance AI and machine learning initiatives in trading, risk, and research.
- Company: Leading multi-strategy hedge fund with a focus on innovation.
- Benefits: Competitive salary of $150,000 to $200,000 and opportunities for growth.
- Why this job: Join a cutting-edge team and make an impact in finance with AI.
- Qualifications: 3+ years of software engineering experience, preferably with AI/ML tools.
- Other info: Collaborative environment with a focus on model scalability and performance.
The predicted salary is between 90000 - 120000 £ per year.
A leading multi-strategy hedge fund is seeking an AI Engineer to advance their AI and machine learning initiatives across trading, risk, and research functions. The role involves utilizing generative AI, building robust AI tools, and collaborating with teams to ensure model scalability and performance.
Ideal candidates will have:
- 3+ years of software engineering experience
- Experience with AI/ML tools
Salary range: $150,000 to $200,000.
Generative AI Engineer for Trading & Research Systems employer: Aurum Search Limited
Contact Detail:
Aurum Search Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer for Trading & Research Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in hedge funds or AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your generative AI projects or any relevant work. This gives potential employers a taste of what you can bring to the table and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AI/ML knowledge. Practice coding challenges and be ready to discuss your past projects in detail. Confidence in your expertise can make all the difference!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Generative AI Engineer for Trading & Research Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and machine learning tools. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and how you can contribute to our trading and research systems. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: In your application, be sure to mention specific programming languages and frameworks you’ve worked with. We’re looking for someone with solid software engineering experience, so let us know what tools you’re comfortable using!
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Aurum Search Limited
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of generative AI and machine learning tools. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and practical experience.
✨Showcase Your Software Engineering Skills
Since the role requires 3+ years of software engineering experience, be prepared to talk about your coding skills. Bring examples of your work, especially any AI tools you've built or contributed to. Highlight your ability to write clean, scalable code that performs well under pressure.
✨Collaboration is Key
This position involves working with various teams, so be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve a common goal, particularly in trading or research contexts.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on algorithms, data structures, and any relevant AI/ML concepts. Practising coding problems can also help you feel more confident when tackling these questions on the spot.
