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The successful candidates will work closely with the team to review, adapt, and test data processing recipes, ensuring accurate data extraction and validation within our reinsurance workflows. Analyze submission documents and outputs generated by Cold Agent systems. Modify and extend existing Python scripts to accommodate additional treaty cases. Develop, test, validate, and document Python recipes for data processing tasks. Cross-verify extracted data against source documents to ensure accuracy. Identify and log issues such as missing data, source file problems, and logical inconsistencies. Assist in human-in-the-loop validation processes and create repeatable automation scripts. Requirements: Proficiency in Python scripting at a basic to intermediate level. Ability to read, understand, and modify existing Python code. Experience working with various file formats including PDF, Excel, Word, email attachments, ZIP files, and directory structures. Fluency in Mandarin is mandatory; proficiency in English is a plus. Eagerness to learn reinsurance concepts, treaty workflows, and related processes. Prior experience in reinsurance is desirable but not required.