Financial Agent Algorithm Engineer 金融Agent算法工程师

职位要求 / 描述

About us Bitget is one of the world's leading digital assets ecosystems. With over 120 million registered users, Bitget has one of the most comprehensive suites of blockchain products and services available via bitget.com. Our mission is to support the growth of the digital assets industry and we believe it represents the future of finance. What we do empowers the future of finance by ensuring secure, efficient and smart digital transactions. We are one of the fastest growing companies in the digital asset sector. If you are looking for cutting-edge work, where you will have opportunities to develop your career among peers who are experts in their field, and you believe in the future of digital currency, then look no further than Bitget! What you'll do Develop financial Agents with the ability for independent research, analysis and decision-making, targeting the digital assets, US stock markets and precious metals markets. • Explore and develop financial Agent products, actively identify high-value scenarios, and drive the products from solution validation, prototype development to production implementation. • Conduct quantitative strategy research: focusing on digital currencies, US stocks, and precious metals markets, conduct data analysis, factor mining, trading signal construction and strategy research; be responsible for strategy backtesting, risk assessment, performance attribution, and real-time effect tracking, and explore the application of Agents in strategy generation, verification, and continuous optimization. • Design and implement the financial Agent system, including task planning and reasoning, Tool/Skill arrangement, RAG and long-term memory, multi-Agent collaboration, self-correction, and effect evaluation. • Build an Autoresearch automatic research loop, achieving "formulating hypotheses - generating code - backtesting evaluation - iterative optimization", exploring the automatic mining of quantitative factors and the construction of quantitative strategies by Agents. • Connect with market conditions, on-chain data, information, and trading tools, and collaborate with product, data, and engineering teams to promote continuous iteration. What you'll need • Relevant majors such as computer science, artificial intelligence, financial engineering, mathematics, etc., with a bachelor's degree or above. • Have at least one of the following experiences: a. Development and implementation of Agent/LLM applications; b. Quantitative research, strategy development or financial data analysis. • Proficient in Python and possess good skills in algorithms, engineering implementation and system design. • Familiar with key technologies such as Agent framework, RAG, Tool Use, model optimization or effect evaluation. • Have good abilities in reading English materials, problem analysis and teamwork. Bonus points: • Have experience in real-time trading of digital assets, US stocks, futures or precious metals, as well as quantitative research. • Have hands-on experience in implementing Autoresearch, Loop Engineering or other automated experimentation and iterative systems. • Have practical experience in developing Agent products from scratch, as well as in Skill/MCP/multi-Agent or long-term memory systems. • Have extensive experience in using AI Coding. 岗位职责： 面向数字资产、美股及贵金属市场，研发具备自主研究、分析与决策能力的金融 Agent。 • 探索和孵化金融 Agent 产品，主动发现高价值场景，推动产品从方案验证、原型开发到生产落地。 • 开展量化策略研究：面向数字货币、美股、贵金属市场，进行数据分析、因子挖掘、交易信号构建与策略研究；负责策略回测、风险评估、绩效归因及实盘效果跟踪，并探索 Agent 在策略生成、验证和持续优化中的应用。 • 设计并落地金融 Agent 系统，包括任务规划与推理、Tool/Skill 编排、RAG与长期记忆、多 Agent 协作、自我纠错及效果评测。 • 搭建 Autoresearch 自动研究闭环，实现“提出假设—生成代码—回测评估—迭代优化”，探索 Agent 自动挖掘量化因子和构建量化策略。 • 对接行情、链上数据、资讯及交易工具，并与产品、数据和工程团队协作推进持续迭代。 任职要求： • 计算机、人工智能、金融工程、数学等相关专业，本科及以上学历。 • 具备以下至少一类经验：a. Agent/LLM 应用开发及产品落地；b. 量化研究、策略开发或金融数据分析。 • 熟练使用 Python，具备良好的算法、工程实现和系统设计能力。 • 熟悉 Agent 框架、RAG、Tool Use、模型优化或效果评测等部分关键技术。 • 具备良好的英文资料阅读、问题分析及团队协作能力。 加分项 • 有数字资产、美股、期货或贵金属的实盘交易、量化研究经验。 • 有 Autoresearch、Loop

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