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- Tasks: Research alpha-generating signals and build statistical models for trading strategies.
- Company: Leading digital asset market maker with a tech-driven culture.
- Benefits: Competitive compensation, flexible remote work, and collaborative environment.
- Why this job: Join a cutting-edge team and shape the future of crypto trading.
- Qualifications: 3+ years in quantitative research, strong Python skills, finance and crypto experience.
- Other info: Exciting opportunity for growth in a dynamic market.
The predicted salary is between 36000 - 60000 £ per year.
A leading digital asset market maker based in Europe is seeking a Quantitative Researcher to expand their Algorithmic MM desk. This remote role involves researching alpha-generating signals, building statistical models, and collaborating on trading strategies.
Ideal candidates will have:
- Over 3 years in quantitative research
- A strong background in Python
- Experience in both traditional finance and crypto markets
The company offers competitive compensation, flexibility, and a collaborative tech-driven environment.
Quantitative Researcher - Crypto HFT & ML Signals (Remote) employer: CHEManager International
Contact Detail:
CHEManager International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Crypto HFT & ML Signals (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the crypto and finance space on LinkedIn or relevant forums. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects, especially those involving Python and crypto. This will give us a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of algorithmic trading strategies and statistical models. We love candidates who can discuss their thought process and approach to problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals ready to dive into the world of crypto!
We think you need these skills to ace Quantitative Researcher - Crypto HFT & ML Signals (Remote)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in quantitative research and Python. We want to see how your background aligns with the role, so don’t hold back on showcasing your relevant projects and achievements!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your experience in both traditional finance and crypto markets, as it’s super important for us to know you understand the landscape we operate in.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about why you’re the perfect fit for our Algorithmic MM desk.
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 CHEManager International
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss statistical models you've built. Make sure you can explain your thought process behind alpha-generating signals and how they apply to both traditional finance and crypto markets.
✨Python Proficiency
Since Python is a key requirement, prepare to showcase your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that demonstrates your understanding of algorithms and data structures.
✨Research the Company
Familiarise yourself with the company's trading strategies and recent developments in the crypto market. This will not only help you answer questions but also show your genuine interest in their work and how you can contribute.
✨Collaborative Mindset
Emphasise your ability to work in a team-oriented environment. Be prepared to discuss past experiences where collaboration led to successful outcomes, especially in tech-driven projects related to quantitative research.