Quantitative Analyst Intern — DeFi Market Making (Hybrid) in London

Quantitative Analyst Intern — DeFi Market Making (Hybrid) in London

London Internship 20000 - 30000 £ / year (est.) Home office (partial)
Unchain Data

At a Glance

  • Tasks: Develop Python libraries and analyse market structures for trading strategies.
  • Company: Join Unchain Data, a leader in the DeFi market making space.
  • Benefits: Paid internship with hands-on experience and mentorship.
  • Other info: Hybrid work model in a fast-paced, innovative environment.
  • Why this job: Dive into the exciting world of crypto and enhance your analytical skills.
  • Qualifications: Proficiency in Python and SQL with a quantitative background.

The predicted salary is between 20000 - 30000 £ per year.

Unchain Data is seeking a Quantitative Analyst Intern to join their Strategic Market Making team, based in London. This paid 6-month internship involves developing Python libraries, analyzing market structures, and building automated workflows to enhance trading strategies.

The ideal candidate will have a quantitative background, with proficiency in Python and SQL. A passion for the crypto space and strong analytical skills will be key in this fast-paced environment.

Quantitative Analyst Intern — DeFi Market Making (Hybrid) in London employer: Unchain Data

Unchain Data is an exceptional employer that fosters a dynamic and innovative work culture, perfect for aspiring Quantitative Analysts. Located in the vibrant city of London, we offer a collaborative environment where interns can thrive, develop their skills in Python and SQL, and gain hands-on experience in the exciting world of DeFi market making. With a focus on employee growth and mentorship, we provide unique opportunities to contribute to cutting-edge projects while being part of a passionate team dedicated to pushing the boundaries of trading strategies.

Unchain Data

Contact Details:

Unchain Data Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Analyst Intern — DeFi Market Making (Hybrid) in London

Join Data-Science Meetups

Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.

Utilise University Career Services

Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.

Show Off Your Stuff on GitHub

If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.

Apply Directly on Our Website

Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.

We think you need these skills to ace Quantitative Analyst Intern — DeFi Market Making (Hybrid) in London

Python
SQL
Analytical Skills
Market Structure Analysis
Automated Workflow Development
Trading Strategy Enhancement
Quantitative Background

Some tips for your application 🫡

Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!

Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Unchain Data will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!

Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!

Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!

How to prepare for a job interview at Unchain Data

Brush Up on Your Coding Skills

As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.

Show Off Your Projects

Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Unchain Data.

Know Your Stats and ML Basics

Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.

Be Eager to Learn and Adapt

Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Unchain Data that you’re not just looking for experience, but that you're keen to contribute and grow within the team.