Project description

Client is establishing a next-generation electronic trading and market-making platform across assets classes – Rates, Credit, and FX , with capabilities spanning in-house pricing, real-time distribution, and straight-through processing (STP). We are seeking a Senior Electronic Trading Engineer to design and build low-latency, event-driven 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.

Responsibilities

  • Key Accountabilities 1. Platform Engineering & Architecture
  • Design and implement high-performance, low-latency trading applications
  • Build event-driven architecture supporting: o Market data ingestion o Pricing orchestration o Real-time price streaming
  • Develop systems capable of high throughput and deterministic latency performance 2. Pricing & Quant Integration
  • Integrate quantitative pricing libraries into real-time trading flows
  • Work with quant teams to: o Productionize pricing models o Optimize models for latency-sensitive environments
  • Implement pricing services / APIs consumable by distribution channels 3. Market Data & Distribution
  • Integrate with market data providers (e.g., Bloomberg, Refinitiv)
  • Build low-latency market data handlers for: o Tick processing o Normalization o Internal distribution
  • Enable real-time price streaming to external/internal clients 4. Execution & Venue Connectivity
  • Implement connectivity to: o Trading venues (ECNs, MTFs, dealers) o Internal/external liquidity sources
  • Develop: o Order routing logic o Execution workflows (RFQ, streaming, DMA)
  • Support low-latency order lifecycle management 5. STP & Trade Processing
  • Ensure integration with: o Trade capture systems (e.g., Murex) o Risk and downstream processing platforms
  • Build real-time STP pipelines ensuring: o Accuracy o Resilience o Auditability 6. Performance Optimization
  • Continuously optimize: o Latency o Throughput o Resource utilization
  • Apply advanced techniques: o Concurrency / multithreading o Memory optimization o Network tuning
  • Ensure systems meet strict latency SLAs typical of trading environments 7. Collaboration & Delivery
  • Work closely with: o Front Office (trading, sales) o Quantitative research teams o 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

Nice to have

NA