Key responsibilities - Design, develop, and maintain automated reconciliation workflows using Python to ensure the accuracy and consistency of portfolio positions, transaction records, and cash movements. - Establish multi-layer data validation and exception-monitoring mechanisms to support NAV calculation, subscription/redemption processing, and financial reporting. - Optimize data cleaning procedures, interface integrations, reconciliation logic, and data-flow processes to enhance operational efficiency and reduce operational risks. - Coordinate with custodians, brokers, external service providers, and investors to streamline data exchange processes and strengthen automated data connectivity. - Provide operational and data support to investment, risk management, and finance teams, ensuring transparency, completeness, and traceability across the entire fund operation lifecycle. - 负责基金运营相关的日常数据管理，基于 Python 搭建并维护自动化对账流程，确保仓位、交易流水及资金数据的准确性与一致性； - 建立多层级的数据校验与异常监控机制，对交易记录、持仓明细、资金流向进行及时核对，为净值计算、申赎处理和财务披露提供可靠的数据支持； - 优化数据清洗、接口对接、对账逻辑及数据流转流程，提高对账效率并降低运营风险； - 与托管行、券商、外包服务机构及投资人保持顺畅沟通，协同完善数据交互模式和自动化对接方式； - 为投研、风控与财务团队提供相关运营与数据支持，确保基金运营全流程数据的透明性、完整性和可追溯性。

Skills and challenges - 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 within the financial industry. - 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、自动化脚本开发与对账流程构建（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工作经验的候选人。