At a Glance
- Tasks: Conduct cutting-edge AI research and develop innovative machine learning models for financial markets.
- Company: Join Jump Trading Group, a leader in tech-driven financial research.
- Benefits: Competitive pay, flexible hours, and opportunities for professional growth.
- Other info: Dynamic team environment with support for international students and visa sponsorship.
- Why this job: Make a real impact in finance while pushing the boundaries of AI technology.
- Qualifications: Strong ML background, programming skills in Python/C++, and a passion for research.
The predicted salary is between 70000 - 90000 £ 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 incentivising 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 organisations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.
What you will do: We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetisation process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition. Other duties as assigned or needed.
Skills You’ll Need:
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
- Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
- Solid development skills in Python and/or C++
- Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX
- Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
- Ability to thrive in a collaborative, team-oriented environment
- Ability to reason through quantitative problems and communicate effectively with trading researchers
- Reliable and predictable availability required
Bonus Points:
- Experience with HPC and distributed large model training
- Experience with GPU performance optimisation (CUDA or ROCm)
- Experience with end-to-end model development
- Strong opinions on best practices in ML research, tooling, and/or infrastructure
INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.
Campus AI Researcher, PhD/Postdoc (Intern) in London employer: Jump Trading
Jump Trading Group is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for aspiring Campus AI Researchers. With a commitment to world-class research and a focus on empowering talent in Mathematics, Physics, and Computer Science, employees benefit from unique growth opportunities, cutting-edge projects, and the chance to work alongside leading global research organisations. The dynamic environment encourages creativity and intellectual honesty, ensuring that every team member can thrive while contributing to impactful advancements in financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land Campus AI Researcher, PhD/Postdoc (Intern) 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 Campus AI Researcher, PhD/Postdoc (Intern) in London
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 Jump Trading 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 Jump Trading
✨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 Jump Trading.
✨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 Jump Trading that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
