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- Tasks: Conduct groundbreaking research in deep learning to transform financial markets.
- Company: Join Jump Trading Group, a leader in innovative financial research.
- Benefits: Enjoy competitive salary, health insurance, and generous paid leave.
- Other info: Dynamic team culture focused on creativity and continuous improvement.
- Why this job: Make a real impact with cutting-edge technology in a collaborative environment.
- Qualifications: 5+ years in deep learning, strong Python/C++ skills, and a relevant advanced degree.
The predicted salary is between 144000 - 252000 £ 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.
The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis, machine learning and deep learning skills, using the results of their research to make forecasts and develop profitable predictive trading models.
What You’ll Do
We are seeking research scientists with a demonstrated ability to apply deep 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 monetization 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
- At least 5+ years of experience in developing DL systems with measurable impact in industry and/or academia.
- Creative thinkers who are driven, self-motivated, and eager to solve challenging problems.
- Proficiency in Python and/or C++.
- Strong foundation in mathematics and statistics.
- Ability to thrive in a collaborative, team-oriented environment.
- PhD, or Master’s degree in Computer Science, Mathematics, (or related subject).
- Strong publications record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent.
- Reliable and predictable availability.
- Excellent written and verbal communication skills in English.
Benefits
- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and Dependent Care options
- Employer Paid Group Term Life and AD&D Insurance
- Voluntary Life & AD&D insurance
- Paid vacation plus paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness Programs
Annual Base Salary Range$200,000 — $350,000 USD
Research Scientist/Research Engineer, Deep Learning in London employer: P2P
Contact Detail:
P2P Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist/Research Engineer, Deep Learning in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your deep learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key, so get comfortable talking about your work!
✨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 joining our team at Jump Trading. Let’s make it happen together!
We think you need these skills to ace Research Scientist/Research Engineer, Deep Learning in London
Some tips for your application 🫡
Showcase Your Research Skills: Make sure to highlight your experience in deep learning and any relevant projects you've worked on. We want to see how you've applied your skills in real-world scenarios, so don't hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Use keywords from the job description to demonstrate that you understand what we're looking for. It shows us you're genuinely interested in joining our team.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity and brevity, so make sure your points are easy to follow. This will help us quickly grasp your qualifications and fit for the role.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your materials and ensures you’re considered for the position. Plus, it’s super easy to do!
How to prepare for a job interview at P2P
✨Know Your Deep Learning Stuff
Make sure you brush up on your deep learning knowledge. Be ready to discuss your past projects and how you've applied deep learning techniques in real-world scenarios. Highlight any measurable impacts your work has had, as this will resonate well with the interviewers.
✨Show Off Your Collaboration Skills
Jump Trading values teamwork, so be prepared to share examples of how you've successfully collaborated with others. Discuss how you’ve contributed to team projects and how you handle differing opinions. This will show that you can thrive in their unique culture.
✨Prepare for Technical Questions
Expect some tough technical questions related to machine learning, statistics, and programming languages like Python or C++. Brush up on your coding skills and be ready to solve problems on the spot. Practising with mock interviews can really help here!
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex concepts in simple terms. Be clear and concise in your responses, and don’t hesitate to ask for clarification if you don’t understand a question. This shows your willingness to engage and ensures you’re on the same page.