At a Glance
- Tasks: Analyse trading activity and develop data-driven insights to enhance on-chain trading.
- Company: Join Monad, a leader in decentralised finance with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic environment with opportunities to shape the future of finance.
- Why this job: Be part of a world-class team tackling impactful challenges in the crypto space.
- Qualifications: Minimum three years in a quantitative role, with strong numpy and pandas skills.
The predicted salary is between 60000 - 80000 £ per year.
Monad is looking for an exceptional quant to address market structure problems within the Monad ecosystem in the UK. You will analyze trading activity, liquidity, and user behavior onchain while developing data-driven insights to improve trading.
A minimum of three years of experience in a quantitative role, preferably in high-frequency trading, is required, along with strong skills in numpy and pandas.
Join a world-class team on challenging and impactful projects that shape the future of decentralized finance.
On-Chain Market Structure Quant — End-to-End Analytics in London employer: Monad
Monad offers a dynamic and innovative work environment where exceptional talent thrives. As an employer, we prioritise employee growth through continuous learning opportunities and collaborative projects that make a real impact in the world of decentralized finance. Located in the UK, our team enjoys a culture of inclusivity and creativity, making it an ideal place for those looking to advance their careers while contributing to cutting-edge solutions.
StudySmarter Expert Advice🤫
We think this is how you could land On-Chain Market Structure Quant — End-to-End Analytics in London
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We think you need these skills to ace On-Chain Market Structure Quant — End-to-End Analytics in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Monad. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Monad
✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
