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- Tasks: Conduct cutting-edge AI research to transform global financial markets.
- Company: Join Jump Trading Group, a leader in innovative financial research.
- Benefits: Competitive pay, flexible hours, and opportunities for professional growth.
- Why this job: Make a real impact with your research while collaborating with top talents.
- Qualifications: Strong ML background and programming skills in Python or C++.
- Other info: International students welcome; we support work visas and CPT/OPT.
The predicted salary is between 500 - 1500 £ per month.
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.
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.
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) employer: Jump Trading
Contact Detail:
Jump Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Campus AI Researcher, PhD/Postdoc (Intern)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Jump Trading Group on LinkedIn. Ask them about their experiences and any tips they might have for landing the Campus AI Researcher role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your research projects, especially those involving machine learning and deep learning techniques. When you get the chance to chat with recruiters or during interviews, share your work and how it relates to the role.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Python and C++ skills. Work through coding challenges and be prepared to discuss your thought process when solving quantitative problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Jump Trading Group team. Good luck!
We think you need these skills to ace Campus AI Researcher, PhD/Postdoc (Intern)
Some tips for your application 🫡
Show Off Your Research Skills: Make sure to highlight your strong publication record and any contributions to open-source AI research. We want to see your passion for pushing the boundaries of knowledge, so don’t hold back!
Tailor Your Application: When applying, customise your CV and cover letter to reflect the skills and experiences that align with our job description. We love seeing how your unique background fits into our innovative culture.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your ideas come across effectively without unnecessary fluff. Remember, we’re looking for intellectual honesty!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Jump Trading
✨Know Your Research Inside Out
Make sure you can discuss your research projects in detail, especially those that have been published at top conferences like ICML or NeurIPS. Be prepared to explain your methodologies, findings, and how they relate to the role you're applying for.
✨Showcase Your Technical Skills
Brush up on your Python and C++ skills, as well as your experience with ML libraries like PyTorch and TensorFlow. Be ready to demonstrate your coding abilities, perhaps through a live coding exercise or by discussing past projects where you applied these technologies.
✨Emphasise Collaboration
Jump Trading values teamwork, so highlight your experiences working in collaborative environments. Share examples of how you've successfully worked with others to solve complex problems or how you've contributed to team projects in the past.
✨Prepare for Quantitative Challenges
Expect to tackle some quantitative problems during the interview. Brush up on your statistical analysis skills and be ready to explain your thought process clearly. This will show your ability to reason through complex issues, which is crucial for the role.