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

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

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