Front Office Java Developer Algorithm
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Job Location:
Monthly Salary:
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
Role Overview
We are seeking a high-caliber Senior Java Developer with a background in competitive algorithms to join our Front Office technology team. You will work directly on the trading floor sitting alongside traders and quants to build and optimize high-throughput low-latency trading engines.
The ideal candidate possesses the rare combination of deep Java expertise and the mathematical rigor required to implement complex execution strategies in a fail-fast environment.
Key Responsibilities
- Engine Development: Design develop and maintain high-performance trading components including order management systems (OMS) pricing engines and risk monitors.
- Algorithm Implementation: Translate quantitative strategies into production-ready code ensuring minimal slippage and maximum computational efficiency.
- Performance Tuning: Profile and optimize Java applications to achieve sub-millisecond latency utilizing low-level techniques such as memory mapping and lock-free concurrency.
- Stakeholder Collaboration: Work closely with the trading desk to gather requirements provide real-time support for production issues and deliver rapid-turnaround features.
- Architecture Evolution: Contribute to the migration toward cloud-native or event-driven architectures to support increasing market volumes.
Technical Requirements
- Java Mastery: 5 years of professional experience with Core Java (17) including expert-level knowledge of multi-threading the JVM memory model and GC tuning.
- Algorithmic Background: Strong foundations in data structures and complexity analysis. Experience with competitive programming or mathematical modeling is highly valued.
- Messaging & Middleware: Proficiency in low-latency messaging frameworks (e.g. Aeron LMAX Disruptor or Solace) and binary serialization protocols.
- Domain Knowledge: Previous experience in Front Office environments (Equities FX or Fixed Income) and familiarity with the FIX Protocol.
- Infrastructure: Solid understanding of Linux systems network protocols (TCP/UDP/Multicast) and containerization (Docker/K8s).
