Summer Quantitative Research Intern – Trading

Summer Quantitative Research Intern – Trading

Internship 22500 - 27500 £ / year (est.) No working from home possible
Trading Interview

At a Glance

  • Tasks: Engage in hands-on trading games and tackle real-world algorithmic trading challenges.
  • Company: Join Susquehanna, a leading firm in quantitative research and trading.
  • Benefits: Gain valuable experience, training, and potential full-time opportunities after the internship.
  • Other info: Dynamic 10-week programme in London with mentorship from senior traders.
  • Why this job: Perfect for those eager to learn and make an impact in the finance world.
  • Qualifications: Open to PhD and research master’s students; no finance background needed.

The predicted salary is between 22500 - 27500 £ per year.

Susquehanna invites Ph D and research master’s students in their penultimate year to apply for a 10-week quantitative research summer internship in London.

Run by senior traders and researchers, the program combines classroom learning with hands-on trading games and real-world algorithmic trading problems.

No finance background is required as training is provided, and successful interns may be invited to join the full-time graduate programme in subsequent years.

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Summer Quantitative Research Intern – Trading employer: Trading Interview

Tower Research Capital is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and rigorous experimentation are at the forefront. Located in a vibrant financial hub, employees benefit from cutting-edge technology and resources, alongside ample opportunities for professional growth and development within the fast-paced world of quantitative trading. Join us to be part of a team that values your contributions and rewards your success in a meaningful way.

Trading Interview

Contact Details:

Trading Interview Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Summer Quantitative Research Intern – Trading

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 Summer Quantitative Research Intern – Trading

Quantitative Research
Algorithmic Trading
Data Analysis
Statistical Modelling
Problem-Solving Skills
Critical Thinking
Communication Skills

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 Trading Interview 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 Trading Interview

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 Trading Interview.

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 Trading Interview that you’re not just looking for experience, but that you're keen to contribute and grow within the team.