Description

Job Description

PURPOSE OF JOB 

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. 

JOB KNOWLEDGE & EXPERIENCE  

• 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 

QUALIFICATIONS AND SKILLS 

Core Technical Skills 

• Strong programming expertise in C# , Python 

• Deep understanding of: 

a. Multithreading, concurrency, and event-driven systems 

b. Low-latency system design and optimization 

• Experience with: 

a. Messaging frameworks (e.g., Kafka, Solace, JMS) 

b. REST / WebSocket APIs for real-time streaming 

• Strong Linux/Unix development environment experience 

Trading / Capital Markets Experience 

• Strong knowledge of: 

o Electronic trading workflows (RFQ, streaming, execution) 

o Market microstructure across FX / Rates / Credit 

• Experience building: 

o Front-office trading or pricing systems 

o Venue/exchange connectivity (FIX protocol preferred) 

Integration Expertise 

• Proven experience integrating: 

o Market data feeds 

o Pricing libraries / quant models 

o Trade booking systems (e.g., Murex or similar platforms) 

• Understanding of: 

o Trade lifecycle 

o STP and post-trade flows 

System Design & Performance 

• Experience designing: 

o Distributed, scalable, low-latency architectures 

• Knowledge of: 

o Data structures & algorithm optimization 

o High-throughput systems 

Preferred / Value-Add Skills 

• Experience in: 

o Cross-asset trading platforms 

o Pricing frameworks (FX, Rates, Credit derivatives) 

• Knowledge of: 

o Cloud-native deployment (AWS / Azure) 

o Containerization (Docker, Kubernetes) 

• Exposure to: 

o Smart Order Routing / algorithmic execution 

• Scripting languages: Python (for integration / tooling) 

Key Skills

Education

Any Graduate