Venture Search
Principal Consultant – Connecting Top Tier Software Engineering & Quant talent to hedge funds and proprietary trading firms
Role Overview
Our client is looking for a Quantitative Developer, that will play a key role in designing and optimising low-latency crypto execution infrastructure. This individual will focus on exchange connectivity, real-time data processing, and strategy integration to ensure trading systems operate with speed and precision across centralised (CEX) and decentralised (DEX) exchanges. The role is highly technical and hands‑on, suited for a professional who excels at writing high‑performance code, understanding order book dynamics, and rapidly deploying trading strategies. Key Responsibilities
Build and maintain low-latency exchange connectors (REST, WebSocket, FIX) for major cryptocurrency venues. Develop and optimise market data pipelines, order routing, and execution logic to enhance speed and reliability. Collaborate with quantitative researchers to productionize market‑neutral and market‑making strategies across multiple venues. Profile and fine‑tune trading systems for latency, throughput, and stability in live trading environments. Implement real‑time monitoring and performance benchmarking tools to ensure consistent system performance. Deploy and manage system components within AWS and containerised environments (Docker/Kubernetes). Contribute to core infrastructure supporting signal ingestion, backtesting, and execution simulation. Qualifications and Experience
Experience in quantitative development or low‑latency trading, preferably within the crypto, HFT, or market‑making sectors. Strong programming proficiency in C++ or Rust, with proven production‑level experience in Python. Demonstrated experience integrating exchange APIs (REST/WebSocket/FIX) and managing real‑time data streams. Solid understanding of market microstructure, order types, and execution dynamics within digital asset markets. Familiarity with Kafka or similar event‑driven systems, and experience working with AWS services (EC2, S3, CLI). Knowledge of asynchronous systems design, network optimisation, and multithreaded performance tuning. Seniority level
Mid‑Senior level Employment type
Full‑time Industries
Capital Markets, Financial Services, and Investment Management
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Role Overview
Our client is looking for a Quantitative Developer, that will play a key role in designing and optimising low-latency crypto execution infrastructure. This individual will focus on exchange connectivity, real-time data processing, and strategy integration to ensure trading systems operate with speed and precision across centralised (CEX) and decentralised (DEX) exchanges. The role is highly technical and hands‑on, suited for a professional who excels at writing high‑performance code, understanding order book dynamics, and rapidly deploying trading strategies. Key Responsibilities
Build and maintain low-latency exchange connectors (REST, WebSocket, FIX) for major cryptocurrency venues. Develop and optimise market data pipelines, order routing, and execution logic to enhance speed and reliability. Collaborate with quantitative researchers to productionize market‑neutral and market‑making strategies across multiple venues. Profile and fine‑tune trading systems for latency, throughput, and stability in live trading environments. Implement real‑time monitoring and performance benchmarking tools to ensure consistent system performance. Deploy and manage system components within AWS and containerised environments (Docker/Kubernetes). Contribute to core infrastructure supporting signal ingestion, backtesting, and execution simulation. Qualifications and Experience
Experience in quantitative development or low‑latency trading, preferably within the crypto, HFT, or market‑making sectors. Strong programming proficiency in C++ or Rust, with proven production‑level experience in Python. Demonstrated experience integrating exchange APIs (REST/WebSocket/FIX) and managing real‑time data streams. Solid understanding of market microstructure, order types, and execution dynamics within digital asset markets. Familiarity with Kafka or similar event‑driven systems, and experience working with AWS services (EC2, S3, CLI). Knowledge of asynchronous systems design, network optimisation, and multithreaded performance tuning. Seniority level
Mid‑Senior level Employment type
Full‑time Industries
Capital Markets, Financial Services, and Investment Management
#J-18808-Ljbffr