At a Glance
- Tasks: Lead the development of Reinforcement Learning algorithms for algorithmic trading.
- Company: Join a boutique trading firm excelling in systematic strategies across traditional and crypto markets.
- Benefits: Enjoy a significant salary, profit sharing, and fully remote work options.
- Why this job: Shape RL capabilities from scratch in a high-performing, agile environment with top-tier talent.
- Qualifications: Expertise in reinforcement learning and strong programming skills are essential.
- Other info: This is a unique opportunity to influence cutting-edge trading technology.
The predicted salary is between 60000 - 84000 Β£ per year.
Social network you want to login/join with:Reinforcement Learning Lead – Algorithmic Trading – Remote, Luton, BedfordshireAI Search is partnering with a boutique, high-performance trading firm specialising in fully systematic strategies across both traditional and crypto markets. The team is small, global, fully remote, and operates with cutting-edge technology to drive alpha generation.Founded and led from London, the group has a strong Russian academic background, with members holding advanced degrees from top universities worldwide.The founder is looking to add a Reinforcement Learning (RL) Expert to the team. This is a genuine greenfield build β RL capabilities are not yet in place, making this a rare chance to design and shape the approach from the ground up. You will be working closely with an extremely talented group of researchers and engineers, collaborating on high-impact projects in a lean, agile environment.Whatβs on OfferSignificant base salaryPercentage of trading profitsOpportunity to work fully remotelyChance to build RL capability from scratch in a proven, high-performing trading environmentLearn from and collaborate with world-class talentRequirementsProven expertise in reinforcement learningStrong programming and data skillsBackground in systematic trading or quantitative research is a plus, but not essential #J-18808-Ljbffr
Reinforcement Learning Lead - Algorithmic Trading - Remote employer: JobLeads GmbH
Contact Detail:
JobLeads GmbH Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Reinforcement Learning Lead - Algorithmic Trading - Remote
β¨Tip Number 1
Network with professionals in the algorithmic trading and reinforcement learning fields. Attend relevant webinars, conferences, or meetups to connect with industry experts and learn about potential opportunities.
β¨Tip Number 2
Showcase your expertise by contributing to open-source projects or publishing research papers related to reinforcement learning. This will not only enhance your profile but also demonstrate your commitment to the field.
β¨Tip Number 3
Engage with online communities and forums focused on reinforcement learning and algorithmic trading. Sharing insights and asking questions can help you build a reputation and may lead to job referrals.
β¨Tip Number 4
Prepare for technical interviews by practising coding challenges and reinforcement learning problems. Familiarise yourself with common algorithms and frameworks used in the industry to demonstrate your skills effectively.
We think you need these skills to ace Reinforcement Learning Lead - Algorithmic Trading - Remote
Some tips for your application π«‘
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Reinforcement Learning Lead position. Familiarise yourself with reinforcement learning concepts and how they apply to algorithmic trading.
Tailor Your CV: Highlight your relevant experience in reinforcement learning and any programming skills you possess. If you have a background in systematic trading or quantitative research, be sure to emphasise that as well.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for reinforcement learning and algorithmic trading. Explain why you're excited about the opportunity to build RL capabilities from scratch and how your skills align with the company's goals.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial in a high-performance trading environment.
How to prepare for a job interview at JobLeads GmbH
β¨Showcase Your RL Expertise
Be prepared to discuss your experience with reinforcement learning in detail. Highlight specific projects where you've implemented RL algorithms, and be ready to explain the challenges you faced and how you overcame them.
β¨Demonstrate Programming Skills
Since strong programming skills are essential for this role, brush up on relevant languages such as Python or R. Be ready to solve coding problems or discuss your approach to algorithm development during the interview.
β¨Understand Systematic Trading
Even if you don't have a background in systematic trading, it's beneficial to familiarise yourself with the basics. Research how RL can be applied in trading strategies and be prepared to discuss your thoughts on this application.
β¨Emphasise Collaboration
This role involves working closely with a talented team. Share examples of how you've successfully collaborated with others in past projects, especially in agile environments, to demonstrate your ability to work well in a team setting.