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