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- Tasks: Contribute to cutting-edge trading systems using Machine Learning and AI models.
- Company: Exciting start-up Quant hedge fund led by top-tier experts.
- Benefits: Competitive salary, dynamic work environment, and opportunities for innovation.
- Why this job: Join a pioneering team and shape the future of trading with your skills.
- Qualifications: Experience in training Machine Learning models and publications in top-tier conferences.
- Other info: Positions available in Miami, London, and Milan with excellent growth potential.
The predicted salary is between 60000 - 84000 £ per year.
My client is a start-up Quant hedge fund founded by a Math Postdoc and a Fields Medallist. They are aiming to launch next year and are currently hiring in Miami, London and Milan.
Responsibilities:
- Contribution to production proprietary trading systems
- Create and deploy Machine Learning and Artificial Intelligence models
- Experiment with trading ideas
Required qualifications:
- Experience training Machine Learning models end to end (from data processing to fine tuning)
- Experience training across transformers / generative models / RL
- Publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals
- Top tier institutions / industry experiences
Nice to have:
- PHD
Machine Learning Quantitative Researcher - Anson McCade in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Quantitative Researcher - Anson McCade in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to the hedge fund scene. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got projects or research that highlight your machine learning expertise, don’t hesitate to share them. Create a portfolio or GitHub repo and link it in your applications.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you’re genuinely interested in joining our team. Don’t miss out!
We think you need these skills to ace Machine Learning Quantitative Researcher - Anson McCade in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Machine Learning models and any relevant publications. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our team. Share your passion for quantitative research and how your background in ML can contribute to our innovative projects.
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to mention them! We love seeing practical applications of your skills, especially if they relate to trading systems or AI models.
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 shows us you’re keen to join our team!
How to prepare for a job interview at Jobster
✨Know Your Models Inside Out
Make sure you can discuss your experience with training Machine Learning models in detail. Be prepared to explain your approach to data processing, fine-tuning, and the specific models you've worked with, especially transformers and generative models.
✨Showcase Your Research
If you've published in top-tier ML conferences or journals, bring copies of your work or be ready to discuss them. Highlighting your research will demonstrate your expertise and commitment to the field, which is crucial for a role at a cutting-edge hedge fund.
✨Understand the Trading Landscape
Familiarise yourself with the basics of quantitative trading and how Machine Learning can be applied in this context. Being able to discuss trading ideas and how your models could contribute to proprietary trading systems will set you apart.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of Machine Learning concepts and algorithms. Brush up on key topics and be ready to solve problems on the spot, as this will showcase your analytical skills and thought process.
