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- Tasks: Join a dynamic team to develop and optimise low-latency trading systems in a fast-paced environment.
- Company: Be part of a leading player in the booming Digital Asset and Cryptocurrency trading industry.
- Benefits: Enjoy competitive pay, remote work options, and opportunities for professional growth.
- Why this job: Work on exciting greenfield projects and collaborate with experts in a high-energy trading floor culture.
- Qualifications: Expertise in Java programming and algorithmic trading is essential; familiarity with market data protocols is a plus.
- Other info: Ideal for tech-savvy individuals eager to make an impact in high-frequency trading.
The predicted salary is between 60000 - 84000 £ per year.
Our client is a leading and well-established player in the Digital Asset and Cryptocurrency Quantitative/Algorithmic trading industry. The business is going from strength to strength, they are currently going through a period of exponential growth and are enjoying record profits The business is actively expanding as there is additional headcount for a number trade platform specialist Java Development with a focus on either/or Quantitative Development or low-latency performance optimization. You will be working on greenfield projects to build out and enhance their low latency trading systems.
THE ROLE:
Working in a fast-paced trading environment as a Quant Developer, where you will collaborate closely with expert traders, quantitative analysts, and engineering specialists to craft and fine-tune trading strategies across both spot and derivative markets. Based directly on the trading floor, you will play a crucial role in enhancing execution logic, automating workflows, and ensuring performance at scale for a high-frequency, multi-exchange setup. You will focus on optimising every component of the trading stackincluding multi-threading, network communication, order processing, and execution logicto achieve ultra-low latency and high throughput. Robust monitoring, alerting, and performance tracking ensure system reliability. The team has deep expertise in trading protocols, messaging systems, network architectures, and concurrent computing to support a complex, high-frequency trading landscape.
KEY RESPONSIBILITIES:
- Build and refine algorithmic trading models for use across various digital asset exchanges
- Improve and maintain dynamic hedging systems and automated order execution frameworks
- Achieve top-tier speed and reliability in order processing to maximise execution quality
- Drive automation of core trading functions to increase scalability and reduce operational risk
- Partner with quants to develop, back test, and deploy strategic trading logic
- Create monitoring tools for real-time analysis of trade metrics and strategy efficiency
- Engineer and optimise ultra-fast connections to trading venues, with a focus on throughput
- Design architecture capable of handling large volumes in a latency-sensitive environment
- Implement and manage high-performance messaging frameworks like Aeron and SBE
- Perform in-depth profiling and tuning to eliminate latency and optimise microsecond-level performance
- Develop robust order routing and execution components that handle market volatility
- Apply advanced networking principles to minimise round-trip times and network jitter
- Continuously assess and remove inefficiencies in JVM performance and memory management
- Strengthen operational resilience through improved monitoring, alerting, and fault tolerance
SKILL / EXPERIENCE REQUIRED:
- Expertise in market-making or algorithmic trading, including deep understanding of order book dynamics and pricing techniques
- Proven track record in Java programming, specifically in building fast, low-latency trading systems
- Strong familiarity with market data and order execution protocols (e.g. FIX, binary, or custom APIs)
- Hands-on experience with JVM tuning, garbage collection, and deep performance analysis
- Knowledge of fast messaging and data serialization technologies for high-speed environments
- Proficiency in networking concepts, including TCP/UDP, multicast, and low-level optimizations like DPDK or kernel bypass
- Mastery of concurrent programming, including lock-free algorithms and shared memory architecture
- Practical experience with Linux performance tuning, including NUMA balancing and use of huge pages
- Background in high-frequency trading and real-time market operations
- Ability to design tools for live trade analysis, PnL tracking, and risk alerting
- Deep understanding of system-level optimization for HFT performance
- Familiarity with time-series or relational databases for logging and analytics
- Experience with cloud platforms and containerized infrastructure (AWS, Docker, Kubernetes)
- Comfortable working in distributed teams across time zones, especially on Linux-based systems
- Excellent communicator under pressure, able to explain complex systems clearly and concisely
- A commercially sharp mindset with the ability to balance speed and risk in decision-making
Java Quantitative Developer Low Latency in City of London employer: James Joseph Associates Limited
Contact Detail:
James Joseph Associates Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Java Quantitative Developer Low Latency in City of London
✨Tip Number 1
Familiarise yourself with the latest trends in algorithmic trading and digital assets. Understanding the current market dynamics and technologies will help you engage in meaningful conversations during interviews and demonstrate your passion for the industry.
✨Tip Number 2
Network with professionals in the quantitative trading space, especially those who work with low-latency systems. Attend industry meetups or webinars to connect with potential colleagues and gain insights into the skills and experiences that are highly valued.
✨Tip Number 3
Brush up on your Java programming skills, particularly in areas related to performance optimisation and concurrent programming. Consider working on personal projects or contributing to open-source projects that focus on low-latency trading systems to showcase your expertise.
✨Tip Number 4
Prepare to discuss specific examples of how you've improved system performance in previous roles. Be ready to explain your thought process and the impact of your contributions, as this will highlight your problem-solving abilities and technical knowledge relevant to the role.
We think you need these skills to ace Java Quantitative Developer Low Latency in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Java programming, low-latency trading systems, and algorithmic trading. Use specific examples that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in optimising trading systems and working in fast-paced environments.
Showcase Relevant Projects: If you have worked on any projects related to high-frequency trading or low-latency systems, be sure to include them in your application. Detail your contributions and the technologies used.
Highlight Soft Skills: Given the collaborative nature of the role, emphasise your communication skills and ability to work under pressure. Provide examples of how you've successfully collaborated with teams in previous roles.
How to prepare for a job interview at James Joseph Associates Limited
✨Showcase Your Java Expertise
Be prepared to discuss your experience with Java programming in detail. Highlight specific projects where you've built low-latency trading systems, and be ready to explain the challenges you faced and how you overcame them.
✨Understand Market Dynamics
Demonstrate a solid understanding of market-making and algorithmic trading principles. Be ready to discuss order book dynamics and pricing techniques, as this knowledge is crucial for the role.
✨Discuss Performance Optimisation Techniques
Prepare to talk about your experience with JVM tuning, garbage collection, and performance analysis. Share examples of how you've optimised systems for ultra-low latency and high throughput.
✨Communicate Clearly Under Pressure
Since the role involves working in a fast-paced trading environment, practice explaining complex concepts clearly and concisely. This will demonstrate your ability to communicate effectively under pressure, which is essential for collaboration with traders and analysts.
