Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Conduct cutting-edge AI research to transform global financial markets.
- Company: Join Jump Trading Group, a leader in innovative financial research.
- Benefits: Enjoy comprehensive health insurance, pension schemes, and paid parental leave.
- Why this job: Make a real impact with your research while collaborating with top talents.
- Qualifications: Strong ML background and experience in Python or C++ required.
- Other info: International students welcome; excellent career growth opportunities await!
The predicted salary is between 30000 - 50000 £ 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.
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.
Benefits include:
- Private Medical, Vision and Dental Insurance
- Travel Medical Insurance
- Group Pension Scheme
- Group Life Assurance and Income Protection Schemes
- Paid Parental Leave
- Parking and Commuter Benefits
Campus AI Researcher, PhD/Postdoc (Full-Time) (Hiring Immediately) in London 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 (Full-Time) (Hiring Immediately) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. We can’t stress enough how important it is to make those personal connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and research. This is your chance to demonstrate your expertise in machine learning and coding, so let us see what you’ve got!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI research. We recommend doing mock interviews with friends or mentors to build confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us. Don’t miss out on this opportunity!
We think you need these skills to ace Campus AI Researcher, PhD/Postdoc (Full-Time) (Hiring Immediately) in London
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 how you've pushed the boundaries in your field, 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 needs. We love seeing candidates who understand our unique culture and can demonstrate their fit for the role.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and skills shine through without unnecessary fluff. Remember, we’re looking for impactful communication!
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 past research projects in detail. Be prepared to explain your methodologies, findings, and how they relate to the cutting-edge work at Jump Trading Group. This shows not only your expertise but also your passion for the field.
✨Showcase Your Collaboration Skills
Since the role emphasises teamwork, think of examples where you've successfully collaborated with others. Highlight how you contributed to group projects and how you handle differing opinions. This will demonstrate your ability to thrive in a team-oriented environment.
✨Brush Up on ML Techniques
Familiarise yourself with modern deep learning techniques and frameworks like PyTorch or TensorFlow. Be ready to discuss how you've applied these in your work. This will show that you're not just theoretically knowledgeable but also practically skilled.
✨Prepare Questions That Matter
Have insightful questions ready about the company's research culture, ongoing projects, or future directions. This not only shows your interest but also helps you gauge if the company aligns with your career goals. It’s a two-way street!