Campus Data Engineer (Intern)

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.

Jump Trading has 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, sophisticated front-end technologies, 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:
Hands-on experience and a high level of proficiency in one or more of the following:

• 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.