At a Glance
- Tasks: Develop and maintain data infrastructure while collaborating with experienced engineers.
- Company: Join Jump Trading Group, a leader in innovative financial research and technology.
- Benefits: Gain hands-on experience, mentorship, and potential full-time opportunities.
- Other info: Internships available year-round; international students welcome!
- Why this job: Make an impact in a fast-paced environment and solve complex problems.
- Qualifications: Python skills, teamwork, and a passion for data engineering.
The predicted salary is between 60000 - 80000 £ per year.
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.
Data Engineering Internship (London)
NOTE - We accept students needing placements or otherwise extended internships. We also allow internships to take place during a non-summer term (for example - the winter, spring, or fall months) if preferable when it makes sense.
What you will do:
- Our data engineering internship is an intensive 10-week experience with our team who is responsible for developing and maintaining the infrastructure and pipelines to support data for firm wide use.
- You will be working side by side with our experienced data engineers and you’ll receive ongoing feedback and coaching from a dedicated mentor throughout the summer.
- Our internship program is the primary way we identify top engineers and it’s a proven path for earning full-time opportunities at Jump.
- You will take on projects working on production code and gain experience with our full-cycle process for development, testing, and release using Agile methodologies.
- You will apply your programming and analysis skills to maintain and develop our firm wide data solutions.
- Other duties as assigned or needed.
Skills you will need:
- Python development on Linux platform
- Strong understanding of data structures and threading models
- Ability to work with a team in a fast-paced environment, deploying new software daily
- Passion for solving complex problems and learning to build optimal solutions from scratch, instead of simply assembling things from existing libraries
- Interest in using knowledge from several areas -- such as data pipelining and database management -- to ensure firm wide data integrity
- Comfortability with Claude Code
- Reliable and predictable availability
No finance or economics study or work experience required.
Also helpful, but not required:
- Past internship or job experience in a data engineering role is a plus
- Advanced coursework in algorithms & data structures
- Exposure to data analytics tools such as Pandas
INTERNATIONAL STUDENTS are encouraged to apply.
Campus Data Engineer (Intern) employer: P2P
P2P is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration in the heart of Greater London. With a commitment to employee growth, we offer extensive professional development opportunities and a supportive environment for those passionate about advancing decentralized finance. Join us to be part of a forward-thinking team that values your contributions and encourages meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Campus Data Engineer (Intern)
✨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 Campus Data Engineer (Intern)
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 P2P 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 P2P
✨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 P2P.
✨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 P2P that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
