Senior Developer - eTrading

We are seeking a Senior Electronic Trading Engineer to design and build low-latency event-driven cross asset trading systems that integrate market data pricing libraries and execution venues enabling real-time streaming execution and risk-aware trade processing. This is a front-office technology role working closely with traders quants and platform teams.

• 7–12 years in capital markets technology
• Minimum 5+ years in electronic trading platform development
• Proven track record delivering latency-sensitive trading solutions
• Strong understanding of connectivity protocols, API and low-latency trading systems
• Strong analytical and problem solving skills accompanied with excellent communication
• Strong analytical and problem-solving capability
• Ability to operate in high-pressure front-office environments
• Strong stakeholder management (Traders, Quants, Business)
• Ownership mindset with focus on performance and stability

• Strong programming expertise in C#, Python
• Deep understanding of:
  • Multithreading, concurrency, and event-driven systems
  • Low-latency system design and optimization
• Experience with:
  • Messaging frameworks (e.g., Kafka, Solace, JMS)
  • REST / Web Socket APIs for real-time streaming
• Strong Linux/Unix development environment experience

• Strong knowledge of:
  • Electronic trading workflows (RFQ, streaming, execution)
  • Market microstructure across FX / Rates / Credit
• Experience building:
  • Front-office trading or pricing systems
  • Venue/exchange connectivity (FIX protocol preferred)

• Proven experience integrating:
  • Market data feeds
  • Pricing libraries / quant models
  • Trade booking systems (e.g., Murex or similar platforms)
• Understanding of:
  • Trade lifecycle
  • STP and post-trade flows

• Experience designing:
  • Distributed, scalable, low-latency architectures
• Knowledge of:
  • Data structures & algorithm optimization
  • High-throughput systems

• Experience in:
  • Cross-asset trading platforms
  • Pricing frameworks (FX, Rates, Credit derivatives)
• Knowledge of:
  • Cloud-native deployment (AWS / Azure)
  • Containerization (Docker, Kubernetes)
• Exposure to:
  • Smart Order Routing / algorithmic execution

• Python (for integration / tooling)
• C#
• Python
• multithreading