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- Tasks: Contribute to innovative 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 growth.
- Why this job: Join a pioneering team and shape the future of trading with cutting-edge technology.
- Qualifications: Experience in training Machine Learning models and strong academic background.
- Other info: Positions available in Miami, London, and Milan.
The predicted salary is between 54000 - 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 City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to the hedge fund scene. Use platforms like LinkedIn to connect with current employees or alumni from your university who might have insights or even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Machine Learning projects, especially those involving trading systems or AI models. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Practice makes perfect! Brush up on your technical interview skills by solving problems related to ML algorithms and quantitative research. Websites like LeetCode or HackerRank can be super helpful for this.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Don’t hesitate to submit your application directly; it shows initiative and can help you stand out from the crowd.
We think you need these skills to ace Machine Learning Quantitative Researcher - Anson McCade in City of 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 shine! Use it to explain why you’re excited about the opportunity at our start-up hedge fund and how your background makes you a perfect fit for the team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any interesting projects or research, make sure to mention them in your application. We love seeing practical applications of your skills, especially if they relate to trading systems or ML 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 don’t miss out on any important updates from 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 the end-to-end process, from data processing to fine-tuning, and have examples ready that showcase your work with transformers, generative models, or reinforcement learning.
✨Showcase Your Research
If you've published in top-tier ML conferences or journals, bring copies of your papers or be ready to discuss them. Highlighting your contributions to the field will demonstrate your expertise and passion for Machine Learning, 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 from other candidates.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of algorithms, data structures, and statistical methods. Brush up on relevant concepts and be ready to solve problems on the spot, as this will demonstrate your analytical skills and ability to think critically under pressure.
