Java Quant Engineer - FX e-Trading platform (3-6 yrs)

Position Name : Java Quant Engineer

Location : On-Site Melbourne, Mumbai & Pune

Experience 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 applications.

About 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.