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Java Quant Engineer

2 months ago

Ajmer, India InTrade Systems Full time

About us:

InTrade is a trading tech start-up focussing on building bespoke, Institutional grade, FX e-Trading systems focussing on EM Banks. With a Top 3 Indian bank already live on our launch product InEngine, we look to build aggressively on our early success. Thriving on culture promoting ‘Respect for each other’ and ‘Individual excellence’ and best in class remuneration; InTrade is expanding rapidly to develop further products and new functionalities to existing product.


Position: Java Quant Engineer - FX e-Trading (2 Candidates)

Location: On-Site Mumbai / Pune

Experience Range: 3-8 years


Role overview:

Role offered entails having strong engineering background in building quantitative applications in FX handling high speed streaming data along with deep functional understanding of quantitative algos typical of a FX application.


Critical Requirements:

  1. Professional Experience: 3-6 years in Quant e-Trading & proven record of top performance.
  2. Trading Desk Experience: Having worked besides a quant trading desk is significant Plus.
  3. Java Development Expertise: Advanced skills in Core Java programming, particularly in developing high-performance, low-latency applications.
  4. Data Structures and Algorithms: Strong understanding of data structures, algorithms, and their application in real-time trading systems.
  5. Market Data and Execution: Experience with real-time market data feeds, order routing, and execution systems, including familiarity with FIX protocol.
  6. 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.
  7. 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.


Other Requirements:

  1. Educational Background: Computer Science Engineering from premier institution only.
  2. Communication and Teamwork: Strong communication skills and the ability to work collaboratively with a multidisciplinary team, including developers, quants, and traders.
  3. Quality Focus: A strong commitment to developing clean, maintainable, and efficient code, with a focus on delivering high-quality, reliable software solutions.


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.