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- Tasks: Contribute to cutting-edge trading systems using Machine Learning and AI.
- Company: Exciting start-up hedge fund founded by top-tier mathematicians.
- Benefits: Competitive salary, dynamic work environment, and opportunities for innovation.
- Why this job: Join a pioneering team and shape the future of finance with your research.
- Qualifications: PhD or equivalent experience in Machine Learning with strong publication record.
- Other info: Work in vibrant cities like Miami, London, or Milan with great career prospects.
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.
Role: Contribution to production proprietary trading systems and create and deploy Machine Learning and Artificial Intelligence models and experiment with trading ideas.
Required 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
Positives: PhD
Machine Learning Quantitative Researcher in London employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Quantitative Researcher in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to the start-up scene. Use platforms like LinkedIn to connect with current employees or alumni from your university who might have insights into the company.
✨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.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ML concepts and algorithms. Consider mock interviews with friends or use online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, ensuring it gets seen by the right people. Don’t miss out on this opportunity to join a cutting-edge team!
We think you need these skills to ace Machine Learning Quantitative Researcher in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with training Machine Learning models. We want to see your journey from data processing to fine-tuning, so don’t hold back on the details!
Cite Your Achievements: If you've got publications in top-tier ML conferences or journals, flaunt them! This is your chance to show us that you’re not just a theorist but someone who’s made a mark in the field.
Tailor Your Application: Don’t send a generic application! We love it when candidates tailor their applications to our specific needs. Mention how your skills align with our goals in developing proprietary trading systems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you get all the latest updates from us!
How to prepare for a job interview at Anson McCade
✨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. Highlight how your research contributes to the field and how it relates to the role you're applying for.
✨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 enhance trading strategies will impress your interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision, their current projects, and how they plan to integrate AI into their trading systems. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
