eTrading Developer

Key Accountabilities Platform Engineering & Architecture Design and implement high-performance, low-latency trading applications Build event-driven architecture supporting: Market data ingestion Pricing orchestration Real-time price streaming Develop systems capable of high throughput and deterministic latency performance Pricing & Quant Integration Integrate quantitative pricing libraries into real-time trading flows Work with quant teams to: Productionize pricing models Optimize models for latency-sensitive environments Implement pricing services / APIs consumable by distribution channels Market Data & Distribution Integrate with market data providers (e.g., Bloomberg, Refinitiv) Build low-latency market data handlers for: Tick processing Normalization Internal distribution Enable real-time price streaming to external/internal clients Execution & Venue Connectivity Implement connectivity to: Trading venues (ECNs, MTFs, dealers) Internal/external liquidity sources Develop: Order routing logic Execution workflows (RFQ, streaming, DMA) Support low-latency order lifecycle management STP & Trade Processing Ensure integration with: Trade capture systems (e.g., Murex) Risk and downstream processing platforms Build real-time STP pipelines ensuring: Accuracy Resilience Auditability Performance Optimization Continuously optimize: Latency Throughput Resource utilization Apply advanced techniques: Concurrency / multithreading Memory optimization Network tuning Ensure systems meet strict latency SLAs typical of trading environments Collaboration & Delivery Work closely with: Front Office (trading, sales) Quantitative research teams Infrastructure and production support Participate in Full SDLC (design build test deploy support) Contribute to architecture decisions and platform evolution Skills Must have 10+ years exp in capital markets technology Minimum 7+ years exp in electronic trading platform development 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 Scripting languages: Python (for integration / tooling) Strong programming expertise in C# (preferred for latency-critical components), 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 / WebSocket APIs for real-time streaming, Strong Linux/Unix development environment experience Trading / Capital Markets

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) Integration Expertise: 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 System Design & Performance Experience designing: Distributed, scalable, low-latency architectures Knowledge of: Data structures & algorithm optimization, High-throughput systems