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Quantitative Developer (Mandarin Speaker)

eFinancialCareers
Greater London
1 week ago
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Responsibilities

: Develop and optimise high-performance trading systems in C++ and Python for algorithmic trading and execution. Implement, test, and deploy trading strategies based on research-driven insights.  Enhance and maintain the research and backtesting framework to support strategy development. Work closely with quantitative researchers to understand their needs and develop efficient tools for data analysis, simulation, and strategy optimisation. Optimise market data pipelines and trade execution engines to improve performance and reduce latency. Ensure system reliability, scalability, and low-latency performance in a fast-paced trading environment. Utilise distributedputing and high-performanceputing techniques to enhance algorithmic execution. Integrate with exchange APIs (REST/WebSocket/FIX) for real-time data processing and trading execution.

Required Qualifications:

Strong understanding of quant trading logic, market structure, and execution strategies. Proficiency in C++ with experience in high-performanceputing, multi-threading, and distributed systems. Experience with algorithmic trading systems in crypto, equities, FX, or derivatives at least 5 years. Knowledge of financial markets, risk management, and portfolio optimisation. Solid understanding of data structures, algorithms, and software architecture for building robust, scalable systems. Experience working in a Linux environment, including scripting and automation. Bachelor’s, Master’s, or PhD inputer Science, Mathematics, Engineering, or related fields.

Preferred Qualifications:

Experience with low-latency trading systems and high-frequency trading (HFT). Background in distributedputing, machine learning, or AI-driven trading models. Familiarity with cloudputing, Kubernetes, or containerised environments. Strong debugging, profiling, and performance optimisation skills.

What We Offer:

A fast-paced, innovation-driven environment in the crypto and digital asset space. Opportunities to work on cutting-edge trading strategies and technology. A highly collaborative and research-orientated culture.

eFCSoSe

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National AI Awards 2025

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