Trading UI Engineer (Java Swing) for Volatility Trading Team

Our client, a prosperous multi-billion dollar hedge fund, is seeking a proficient Java developer to enhance their existing multi-asset trading UI platform with state-of-the-art volatility trading capabilities. The role involves integrating systematic access to markets, Vol Execution, and trading analytics tools into a unified, streamlined interface. The developer will also work on pivotal strategic enhancements including broker algorithm integration and complex options support. The ideal candidate should have a proven track record in developing and maintaining Java-based front-end applications in the finance sector. Exceptional team collaboration skills and the ability to work effectively with colleagues across various global time zones are crucial. Here is a unique opportunity to drive substantial impact within a top-tier investment management firm.
Technical Requirements:

• BA/BS degree in Computer Science or equivalent
• 10+ years of development experience in Java
• 5+ years of building UI front ends, specifically with Java Swing
• Strong understanding of Data Structures, Algorithms, and Object Oriented design
• Deep understanding of Multithreading and Distributed Systems
• In-depth experience in OMS and trading
• Extensive experience with high performance, low latency, and scalable/distributed system design and development
• Excellent knowledge of unit-testing frameworks and continuous test driven development practices

• Familiarity with the Futures and Options trading
• Experience with messaging middleware, Solace preferred
• Experience with relational and NoSQL databases. MongoDb preferred
• Experience working with financial data, including reference data, market data, order/execution and positions data.
• Experience working with Cloud: AWS (preferred), GCP or Azure
  
  Make sure you pay attention/ask about their System Design experience
  as a deep understanding of multithreading, distributed systems, and
  high-performance computing is crucial, given the real-time and
  high-stakes nature of trading platforms.