EFX Java Developer

Alan Partners; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading financial services firm in Singapore is seeking a skilled eFX Java Developer to focus on backend development for their electronic foreign exchange trading platform. The ideal candidate will have robust Core Java programming skills and experience with low-latency applications, Dark pool trading, and network protocols. This role offers a dynamic environment to contribute to the performance and reliability of a cutting-edge trading system.

Qualifications

• Bachelor's degree required, master's degree is a plus.
• Deep understanding of Core Java programming essential.
• Experience in low-latency programming and Dark pool trading preferred.

Responsibilities

• Collaborate with teams to design high-performance backend systems.
• Develop and maintain robust low-latency Java applications.
• Optimize code for fast processing of trading orders.
• Utilize concurrency and data structures to enhance platform reliability.

Skills

Core Java programming

Concurrency

Data structures

Garbage collection

Low latency programming

Dark pool trading

Network protocols

API integration

Problem-solving

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Master's degree (preferred)

Job description

We are seeking a skilled and dedicated eFX Java Developer with a strong focus on backend development to join our banking client. The ideal candidate will possess a deep understanding of Core Java programming, along with expertise in areas such as concurrency, data structures, garbage collection, low latency programming, Dark pool trading, and network connections. As an eFX Java Developer, you will play a pivotal role in designing, developing, and optimizing the backend systems that power our electronic foreign exchange trading platform.

Responsibilities

• Collaborate with cross-functional teams to design and implement high-performance backend systems for our eFX trading platform.
• Develop, test, and maintain robust, low-latency Java applications that facilitate efficient electronic trading.
• Utilize your expertise in Core Java programming, concurrency, and data structures to ensure the reliability and scalability of the platform.
• Optimize code for low-latency execution, ensuring fast and efficient processing of trading orders.
• Implement and fine-tune garbage collection strategies to enhance system performance and reduce latency.
• Integrate and work with network protocols and APIs to establish reliable and high-speed connections with external partners, exchanges, and liquidity providers.
• Contribute to the development and enhancement of Dark pool trading functionality, ensuring confidentiality and anonymity of trades.
• Collaborate with front-end developers and UI/UX designers to create seamless user experiences and interfaces.
• Participate in code reviews, identify performance bottlenecks, and suggest solutions to optimize system efficiency.
• Stay current with industry trends and emerging technologies in eFX trading and backend development.
• Troubleshoot and resolve technical issues in a timely manner, providing efficient support to the trading operations team.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus.
• Proficient in Core Java programming and software design principles.
• Strong understanding of concurrency, threading, and multi-threading concepts.
• In-depth knowledge of data structures and algorithms.
• Experience optimizing code for low-latency performance.
• Familiarity with garbage collection techniques and strategies.
• Prior exposure to Dark pool trading concepts and methodologies.
• Expertise in network protocols, socket programming, and API integration.
• Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
• Effective communication and teamwork skills, with the ability to collaborate across departments.
• Experience with financial markets and trading systems is advantageous.