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- Tasks: Join a team to develop cutting-edge trading platforms and strategies in crypto and other asset classes.
- Company: Be part of a dynamic firm focused on innovative technology and risk management in trading.
- Benefits: Enjoy a hybrid work model with flexible remote options and a collaborative team environment.
- Why this job: This role offers hands-on experience in a meritocratic setting, perfect for tech-savvy problem solvers.
- Qualifications: Proficiency in Java and a strong academic background in a technical field are essential.
- Other info: Expect a phone interview and a technical test to showcase your skills in Python/Java.
The predicted salary is between 43200 - 72000 £ per year.
The role involves working as a Quantitative Developer within a team that combines innovative technology and robust risk management to identify trading opportunities and provide electronic liquidity in spot FX, Futures, Crypto currency instruments, and Index Swaps. The team handles high-performance, distributed systems that manage high message rates, large order bursts, and significant market risk. This project represents a great opportunity for a motivated engineer to architect a greenfield trading platform in a meritocratic environment.
There is considerable scope for writing and improving the trading strategies in collaboration with our highly skilled team of quants and engineers. The successful candidate will gain valuable exposure to existing strategies deployed across other asset classes outside of crypto, providing an opportunity for growth.
- Develop and manage the technology stack from price construction to risk management and order execution.
- Build a market-making business in crypto, including developing a system that can hedge and run proprietary risk.
- Work closely with the quant research team on a greenfield build to provide a crypto market-making capability in Java.
- Contribute to the monitoring, development, and improvement of trading strategies, including robust risk management and mark-to-market portfolio valuation.
- Establish automated deployment management via AWS (or similar) for optimal trading performance.
- Develop components alongside the existing high-performance trading architecture.
Proficiency in Java, with experience in developing and maintaining crypto market-making strategies both on exchange and/or OTC. Strong academic background in a numerate or technical subject. Some exposure to Java technologies such as SBE, Aeron, and Disruptor. Experience with cloud-based automated deployment strategies. Experience with time-series data analysis, particularly in FX. Experience in the crypto domain, particularly in providing client pricing in bitcoin and managing the associated risks. Knowledge of efficient communication of pricing data between different locations, such as AWS in Hong Kong and Tokyo.
Phone interview. Technical test to check proficiency in Python/Java.
Office location: London. Remote/Hybrid Days: ~4 days in the office per week.
Trading Quantitative Developer employer: Caspian One
Contact Detail:
Caspian One Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Quantitative Developer
✨Tip Number 1
Familiarise yourself with the latest trends in crypto market-making and trading strategies. Being able to discuss recent developments or innovations in this area during your interview will show your passion and commitment to the role.
✨Tip Number 2
Brush up on your Java skills, especially focusing on technologies like SBE, Aeron, and Disruptor. Consider building a small project or contributing to open-source projects that utilise these technologies to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the technical test by practising coding challenges in Python and Java. Websites like LeetCode or HackerRank can be great resources to sharpen your problem-solving skills and get comfortable with the types of questions you might face.
✨Tip Number 4
Network with professionals in the trading and quantitative development space. Attend meetups or webinars focused on trading technology to gain insights and potentially make connections that could help you during the application process.
We think you need these skills to ace Trading Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your proficiency in Java and any experience you have with crypto market-making strategies. Include specific projects or roles that demonstrate your technical skills and understanding of trading systems.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your strong academic background in a numerate or technical subject and how it relates to the responsibilities of the Quantitative Developer position.
Showcase Relevant Experience: If you have experience with cloud-based automated deployment strategies or time-series data analysis, be sure to include this in your application. Provide examples of how you've applied these skills in previous roles.
Prepare for Technical Assessment: Since there will be a technical test to check your proficiency in Python/Java, brush up on your coding skills. Practice common algorithms and data structures, and be ready to discuss your past projects involving high-performance trading architecture.
How to prepare for a job interview at Caspian One
✨Brush Up on Java Proficiency
Since the role requires strong Java skills, make sure to review key concepts and frameworks related to Java. Be prepared to discuss your previous projects and how you applied Java in developing trading strategies.
✨Understand Market-Making Strategies
Familiarise yourself with market-making principles, especially in the crypto domain. Be ready to explain how you would approach building a market-making system and managing associated risks.
✨Prepare for Technical Tests
Expect a technical test focusing on Python and Java. Practice coding problems that involve time-series data analysis and algorithm design, as these are likely to be relevant to the role.
✨Showcase Your Team Collaboration Skills
The role involves working closely with quants and engineers. Be prepared to discuss examples of how you've successfully collaborated in a team environment, particularly in high-pressure situations.
