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- Tasks: Develop and deploy cutting-edge Machine Learning models for trading systems.
- Company: Dynamic Quant hedge fund based in London, focused on innovation.
- Benefits: Exciting growth potential and a vibrant work environment.
- Why this job: Join a team pushing the boundaries of AI in trading.
- Qualifications: Experience in end-to-end model training; publications in ML preferred.
- Other info: Ideal for those looking to make an impact in finance with AI.
The predicted salary is between 43200 - 72000 £ per year.
A Quant hedge fund is seeking a talented professional to contribute to developing proprietary trading systems. The role involves creating and deploying Machine Learning and AI models, as well as experimenting with trading ideas. Ideal candidates have experience in training models from end to end and hold publications in leading ML conferences or journals. A PhD is a plus. This opportunity offers a dynamic environment in London with significant growth potential.
Quantitative ML Researcher — Trading AI Systems in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative ML Researcher — Trading AI Systems in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and AI space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your ML projects and trading experiments. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML algorithms and trading strategies. Practice coding challenges and be ready to discuss your past research and publications.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight your experience with end-to-end model training and any relevant publications.
We think you need these skills to ace Quantitative ML Researcher — Trading AI Systems in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Machine Learning and AI models in your application. We want to see how you've trained models from start to finish, so don’t hold back on the details!
Cite Your Achievements: If you’ve got publications in leading ML conferences or journals, flaunt them! This is your chance to show us your expertise and what you can bring to our trading systems.
Tailor Your Application: Don’t just send a generic application. We love it when candidates tailor their applications to fit the role. Mention specific trading ideas or projects that excite you and how you can contribute to our team.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Jobster
✨Know Your Models Inside Out
Make sure you can discuss the machine learning models you've worked with in detail. Be prepared to explain your approach to training them from end to end, including any challenges you faced and how you overcame them.
✨Showcase Your Research
If you have publications in leading ML conferences or journals, bring them up during the interview. Discussing your research will demonstrate your expertise and passion for the field, which is crucial for a role focused on developing proprietary trading systems.
✨Be Ready to Experiment
Since the role involves experimenting with trading ideas, think of examples where you've tested hypotheses or tried out new strategies. Be ready to share your thought process and the outcomes of those experiments.
✨Understand the Trading Environment
Familiarise yourself with the dynamics of the trading world, especially in a quantitative context. Knowing how AI and ML can be applied to trading will show that you're not just technically skilled but also understand the business side of things.
