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- Tasks: Analyse on-chain trading activity and model portfolio behaviour using complex datasets.
- Company: Leading crypto infrastructure company at the forefront of innovation.
- Benefits: Fully remote role with competitive salary and flexible working hours.
- Why this job: Join a dynamic team and influence product decisions in the exciting world of crypto.
- Qualifications: Strong background in financial markets, proficient in SQL and Python, Web3/crypto experience.
- Other info: Perfect for those who thrive in a fast-paced, data-driven environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading crypto infrastructure company is seeking a skilled Data Analyst to analyze on-chain trading activity, model portfolio behavior, and extract key data from DEX and CEX platforms.
Candidates must have a strong background in financial markets, be proficient in SQL and Python, and possess Web3/crypto experience.
This is a fully remote role, ideal for individuals comfortable working with complex datasets and delivering actionable insights that influence product decisions.
On-Chain Analytics & Trading Data Scientist employer: Symbiotic
Contact Detail:
Symbiotic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land On-Chain Analytics & Trading Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the crypto space on LinkedIn or Twitter. Join relevant groups and forums where you can chat about on-chain analytics and trading. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in SQL and Python, especially those related to financial markets. This will give potential employers a taste of what you can do with complex datasets.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies specific to crypto. Practice explaining your thought process when analysing on-chain trading activity – clarity is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace On-Chain Analytics & Trading Data Scientist
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these skills in real-world scenarios, especially in the context of financial markets and crypto.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the On-Chain Analytics & Trading Data Scientist role. Mention any relevant projects or experiences that align with on-chain trading activity.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get straight to the point about why you’re the perfect fit for this role and how your insights can influence product decisions.
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 during the process!
How to prepare for a job interview at Symbiotic
✨Know Your Crypto Stuff
Make sure you brush up on your knowledge of Web3 and crypto markets. Be ready to discuss recent trends, key players, and how on-chain analytics can impact trading strategies. Showing that you’re not just familiar but passionate about the space will definitely impress.
✨Show Off Your SQL and Python Skills
Prepare to demonstrate your proficiency in SQL and Python during the interview. You might be asked to solve a problem or analyse a dataset on the spot, so practice coding challenges beforehand. Being able to articulate your thought process while working through these problems is key.
✨Understand the Role's Impact
Think about how your role as a Data Analyst will influence product decisions. Be ready to share examples of how data-driven insights can lead to better trading strategies or improved user experiences. This shows that you understand the bigger picture and are ready to contribute meaningfully.
✨Prepare Questions That Matter
Have a list of insightful questions ready for your interviewers. Ask about their current projects, the tools they use, or how they measure success in the role. This not only shows your interest but also helps you gauge if the company is the right fit for you.