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- Tasks: Research advanced machine learning techniques to model market behaviour and develop predictive models.
- Company: Leading global hedge fund with a focus on systematic research.
- Benefits: Competitive salary, collaborative environment, and direct impact on trading strategies.
- Why this job: Combine cutting-edge research with real-world trading impact in a high-performance team.
- Qualifications: PhD or Master's degree, strong programming skills in Python, and machine learning expertise.
- Other info: Join a dynamic team with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A leading global hedge fund is seeking a Quantitative Machine Learning Researcher to join its systematic research group. The role involves researching advanced machine learning techniques to model market behavior and develop predictive models.
Ideal candidates will have:
- A PhD or a Master's degree with experience
- A robust programming background in Python
- A strong foundation in machine learning
This unique opportunity combines research with direct impact on trading strategies in a collaborative, high-performance environment.
Quantitative ML Researcher for Live Trading Alpha in London employer: HWTS Global
Contact Detail:
HWTS Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative ML Researcher for Live Trading Alpha in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the hedge fund and machine learning space. Use platforms like LinkedIn to connect with current employees at the firm you're eyeing. A friendly chat can sometimes lead to insider tips or even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best projects in Python and machine learning. Whether it's a predictive model or a research paper, having tangible evidence of your expertise can really set you apart during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical interview skills by solving coding challenges related to machine learning and quantitative analysis. Websites like LeetCode or HackerRank can be great for this. We want you to feel confident when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly. Let’s get you on board!
We think you need these skills to ace Quantitative ML Researcher for Live Trading Alpha in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming prowess in Python and any machine learning projects you've tackled. We want to see how your experience aligns with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Quantitative ML Researcher position. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Let your passion for machine learning shine through!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at HWTS Global
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your previous projects and how you've applied ML in real-world scenarios, especially in trading or finance.
✨Show Off Your Coding Skills
Since a strong programming background in Python is crucial, practice coding problems related to data manipulation and algorithm implementation. You might be asked to solve a problem on the spot, so being comfortable with Python is key.
✨Understand Market Behaviour
Familiarise yourself with market dynamics and how machine learning can be used to model them. Being able to articulate how your research can impact trading strategies will set you apart from other candidates.
✨Collaborate and Communicate
This role is in a collaborative environment, so be prepared to demonstrate your teamwork skills. Share examples of how you've worked effectively in teams, and be open to discussing ideas and feedback during the interview.
