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- Tasks: Develop analytical models and algorithms for cryptocurrency trading.
- Company: Prominent trading firm in London with a focus on innovation.
- Benefits: Highly competitive compensation based on experience.
- Why this job: Join a cutting-edge team and shape the future of crypto trading.
- Qualifications: Degree in Maths, Computer Science, or similar; Python and algorithmic trading experience required.
- Other info: Exciting opportunity to work in a dynamic and fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A prominent trading firm in London is seeking a Quantitative Trader with 1-4 years of experience in a quantitative trading role. You will develop analytical models and algorithms for cryptocurrency trading, partnering with the technology team.
Ideal candidates will hold a degree in Maths, Computer Science, or similar, and have experience with Python and algorithmic trading tools. The compensation offered is based on experience and highly competitive.
Crypto Quant Trader - Real-Time Algo Strategies employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Crypto Quant Trader - Real-Time Algo Strategies
✨Tip Number 1
Network like a pro! Reach out to folks in the crypto trading scene on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical models and algorithms. We recommend using GitHub to share your projects, especially if they involve Python and algorithmic trading tools. It’s a great way to demonstrate your expertise!
✨Tip Number 3
Prepare for those interviews! Brush up on your quantitative trading knowledge and be ready to discuss your past experiences. We suggest practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Crypto Quant Trader - Real-Time Algo Strategies
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any algorithmic trading tools you've used. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Crypto Quant Trader 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. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and experiences.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role!
How to prepare for a job interview at Radley James
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific models or algorithms you've worked on. Be prepared to explain your thought process and the outcomes of your strategies, as this will show your analytical prowess.
✨Showcase Your Coding Skills
Since Python is a key requirement, make sure you can demonstrate your coding abilities. Consider preparing a small project or example that highlights your experience with algorithmic trading tools, and be ready to walk through your code during the interview.
✨Understand the Crypto Market
Familiarise yourself with current trends and challenges in the cryptocurrency market. Being able to discuss recent developments or your views on market movements will show your passion and commitment to the field.
✨Collaborate and Communicate
As you'll be working closely with the technology team, emphasise your teamwork and communication skills. Prepare examples of how you've successfully collaborated in the past, especially in high-pressure situations, to demonstrate your ability to work well in a team environment.
