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Job Responsibilities:

Analyze and process large volumes of financial data, and construct and maintain data infrastructure.

Implement machine learning algorithms to enhance the accuracy of trading predictions and execution efficiency.

Design and develop a multi-agent trading framework based on LLM, enabling collaboration among specialized agents for fundamental analysis, sentiment analysis, technical analysis, and more.

Job Requirements:

Background in Computer Science, Financial Engineering, Applied Mathematics, or related fields.

Proficient in Python with extensive experience in algorithm implementation and optimization.

Familiar with LLM development frameworks such as LangChain and LlamaIndex, with experience in RAG and SFT technologies.

Deep understanding of machine learning, deep learning, and data mining techniques, with strong practical skills to apply theory to actual trading.

Familiarity with futures and cryptocurrency markets, with a deep understanding of trading methodologies such as technical analysis indicators and sentiment cycle theory.

Experience with Rust technology is a plus.