Java Quant Engineer - FX e-Trading platform

Position Name : Java Quant Engineer Location : On-Site Melbourne, Mumbai & Range : 3-6 Years Mandatory Requirement : Professional Experience : - 3-6 years in Quant e-Trading & a proven record of top performance. Trading Desk Experience : - Having worked beside a quant trading desk is significant Plus. Java Development Expertise : - Advanced skills in Core Java programming, particularly in developing high-performance, low-latency the client : Our client is a pioneering company specializing in the provision of innovative trading solutions and financial services. With a focus on leveraging cutting-edge technology, They aim to enhance trading efficiency and deliver exceptional value to its clients. Job Roles and Responsibilities : They are seeking a highly skilled Java Quant Developer to join their engineering team, focusing on the development and optimization of their FX e-Trading platform. The ideal candidate will have extensive experience in developing low-latency trading systems, a deep understanding of the FX markets, and a strong foundation in quantitative analysis and algorithm development. Responsibilities : 1. Algorithm and Strategy Development : Develop execution, book building ,price creation, and risk management algorithms and strategies, ensuring compliance with relevant regulations. 2. System Optimization : Enhance the performance of the trading platform, focusing on ultra-low latency and high throughput for processing large volumes of market data and trade orders. 3. Integration and Connectivity : Develop and maintain integrations with external systems, such as market data providers, trading venues, and post-trade systems like clearing-houses & settlement systems, ensuring efficient data flow and transaction processing. 4. Data Management : Implement real-time data capture, processing, and analysis systems, utilizing advanced data structures and in-memory data grids. 5. Risk Management and Compliance : Develop robust risk management frameworks and ensure that all systems comply with industry regulations and standards. 6. Continuous Improvement : Stay up-to-date with the latest trends in trading technology, quantitative finance, and market developments to continuously innovate and enhance the platform. Qualification and Experience : Educational Background : - A degree in Computer Science, Engineering, or a related field from premier institution only. Low-Latency Technologies : Experience with low-latency technologies such as : - Strong fundamentals of Core Java & the Java Concurrency framework - Chronicle Queue, Chronicle Map, and Chronicle Wire or AMPS for high-performance data storage, messaging, and serialization. - OpenHFT libraries - LMAX Disruptor - Java NIO (Non-Blocking I/O), Netty, Undertow etc for high-performance network applications. Optional : - Aeron, Simple Binary Encoding (SBE), Protocol Buffers (ProtoBuf) - Hazelcast / Redis or other in-memory data grids for distributed caching and data management. Data Structures and Algorithms : - Strong understanding of data structures, algorithms, and their application in real-time trading systems. Market Data and Execution : - Experience with real-time market data feeds, order routing, and execution systems, including familiarity with FIX protocol. Performance Tuning and Benchmarking : - Skills in performance analysis,tuning and benchmarking, using tools like Apache JMeter, VisualVM, JProfiler, Java Mission Control (JMC), Java Flight Recorder (JFR), GCViewer / Eclipse MAT, JMH and JLBH for system performance engineering. Other Details : Communication and Teamwork : - Strong communication skills and the ability to work collaboratively with a multidisciplinary team, including developers, quants, and traders. Quality Focus : - A strong commitment to developing clean, maintainable, and efficient code, with a focus on delivering high-quality, reliable software solutions. (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 11/24/2024