Quantitative Analyst

My client is a leading quantitative private fund firm with AUM exceeding 700 trillion RMB

Quantitative Analyst 量化分析师

职位描述 / Job Description

• 深度协同Trader与PM团队，提供全方位交易支持与数据赋能，基于Python搭建、优化并维护自动化数据处理体系，精准输出交易记录、持仓明细、资金流向等核心数据，为交易决策、策略复盘与迭代提供及时、可靠的底层支撑。
• 建立多层级、高灵敏度的数据校验与异常监控机制，精准跟踪、核对交易全流程数据，提前预警潜在数据风险，保障净值计算、申赎处理及财务披露的合规性与准确性，为策略落地筑牢数据安全防线。
• 持续优化数据清洗、接口对接及数据流转效率，主动挖掘数据价值，快速响应Trader与PM的个性化数据需求，解决交易及策略相关的数据痛点，助力提升交易执行效率与策略迭代速度。
• 联动托管行、券商、外包服务机构及投资人，协同优化数据交互模式与自动化对接方案，保障交易结算顺畅高效，同时为Trader、PM的外部协同提供专业运营支持，打通基金运营全流程数据链路。
• 深度参与投研、风控与财务团队的协同工作，输出交易相关的精准数据报告与分析支持，确保基金运营全流程数据的透明性、完整性与可追溯性，助力策略优化与风险管控，成为团队不可或缺的量化数据专家。
• Work closely with Traders and PMs as a core member of the trading team, providing comprehensive trading support and data empowerment. Develop, optimize and maintain automated data processing systems using Python, accurately deliver core data such as trade records, portfolio positions and cash movements, and provide timely and reliable underlying support for trading decisions, strategy review and iteration.
• Establish multi-level, high-sensitivity data validation and exception monitoring mechanisms to accurately track and verify data throughout the trading process, early warn potential data risks, ensure the compliance and accuracy of NAV calculation, subscription/redemption processing and financial disclosure, and build a solid data security barrier for strategy implementation.
• Continuously optimize data cleaning, interface integration and data flow efficiency, proactively explore data value, quickly respond to the personalized data needs of Traders and PMs, solve data pain points related to trading and strategies, and help improve trading execution efficiency and strategy iteration speed.
• Coordinate with custodians, brokers, external service providers and investors to optimize data exchange models and automated connectivity solutions, ensure smooth and efficient trade settlement, and provide professional operational support for the external collaboration of Traders and PMs, connecting the entire data link of fund operations.
• Deeply participate in the collaboration with investment research, risk management and finance teams, output accurate data reports and analysis support related to trading, ensure the transparency, completeness and traceability of data throughout the fund operation lifecycle, assist in strategy optimization and risk control, and become an indispensable quantitative data expert in the team.

职位要求 / Requirements

• 工作严谨细致，责任心强，具备良好的职业稳定性，能够在高强度、快节奏的运营环境中保持准确性；
• 具备扎实的 Python 编程能力，能够熟练使用相关库进行数据处理、自动化脚本开发与流程构建（如 pandas、NumPy、SQL 等）；
• 能够熟练使用英语作为工作语言，具备良好的书面表达能力；
• 对金融市场、基金产品及其运营逻辑有一定认知，并愿意深入学习行业规则（如估值核算、交易清算、资金划付等）；
• 优秀应届毕业生，或具有 2–3 年金融行业数据分析或交易支持相关工作经验的候选人。
• Strong sense of responsibility with high attention to detail and professional stability; able to maintain accuracy in a fast-paced operational environment.
• Solid Python programming skills, with hands-on experience in developing automation scripts and handling data using libraries such as pandas, NumPy, and SQL.
• Ability to use English as a working language with strong written communication skills.
• Basic understanding of financial markets, fund products, and operational procedures (e.g., valuation, trade settlement, cash movement), with willingness to further deepen industry knowledge.
• Open to fresh graduates or candidates with 2–3 years of experience in data analysis or trading support within the financial industry.