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

Highly Valued :

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.

#J-18808-Ljbffr