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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.
- 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.
- Other info: Dynamic team culture focused on creativity, innovation, and professional growth.
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 employer: P2P
Contact Detail:
P2P Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist/Research Engineer, Deep Learning
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with researchers on LinkedIn. 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 and research. This is your chance to demonstrate your expertise and creativity, so make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your past projects and how they relate to the role at Jump Trading. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our innovative team.
We think you need these skills to ace Research Scientist/Research Engineer, Deep Learning
Some tips for your application 🫡
Showcase Your Skills: Make sure to highlight your deep learning expertise and any relevant projects you've worked on. We want to see how your skills can contribute to our innovative research culture.
Tailor Your Application: Don’t just send a generic application! Customise your CV and cover letter to reflect the specific requirements of the Research Scientist/Research Engineer role. We love seeing how you connect your experience to what we do at Jump Trading.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and passion for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the position. Plus, it shows you’re serious about joining our team!
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 show your potential employer that you can deliver results.
✨Show Off Your Collaboration Skills
Jump Trading values teamwork, so be prepared to talk about your experiences working in collaborative environments. Share examples of how you've successfully worked with others to solve complex problems, and emphasise your ability to thrive in a team-oriented setting.
✨Get Familiar with Their Culture
Research Jump Trading's unique culture of innovation and creativity. Think about how your personal values align with theirs, and be ready to discuss how you embody qualities like fearlessness and intellectual honesty in your work. This will help you connect with the interviewers on a deeper level.
✨Prepare for Technical Questions
Expect some 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 common interview questions in these areas can give you a solid edge.
