jobs in FortisHill Consulting Limited

全职 IT - AI Data - Python Automation Developer (6 months contract) 工作, 薪水 up to HKD 50,000, FortisHill Consulting Limited Hong Kong 公司招聘中 - Ricebowl

IT - AI Data - Python Automation Developer (6 months contract)

FortisHill Consulting Limited

HKD30,000 - HKD50,000 每月

Hong Kong

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工作地点

  • Hong Kong Hong Kong

职位描述

岗位职责

Our client is seeking Python contractors to support an AI-enabled insurance data project. The role will focus on converting submission data-extraction logic into repeatable Python-based “recipes” for different treaty and transaction cases.

A recipe is a deterministic Python script designed to extract, transform and structure data from submission documents relating to a designated counterparty and transaction type.

The successful candidate will review business documents and AI-assisted extraction outputs, adapt existing Python logic, test extraction accuracy and support human-in-the-loop validation. This role is suitable for candidates with practical Python scripting experience, strong attention to detail and an interest in document processing, automation and insurance data.

Key Responsibilities
  • Review submission documents and AI/coding-agent extraction outputs to identify required data points.
  • Read, understand and adapt existing Python recipe logic for additional treaty and transaction cases.
  • Create, test, replay and document assigned data-extraction recipes.
  • Extract and structure information from PDF, Excel, Word, email attachments, ZIP files, folders and other submission materials.
  • Verify extracted data against original source documents to ensure accuracy and traceability.
  • Record defects, missing data, source-file issues, extraction errors and logic gaps.
  • Support human-in-the-loop validation by identifying where each extracted value originated.
  • Work with project stakeholders to resolve data-quality and extraction issues.
  • Help improve the consistency and repeatability of the recipe-development process.
  • Use AI-assisted development or coding-agent tools where appropriate.
  • Prepare clear documentation so that recipe logic can be understood, maintained and replicated by other team members.
Required Skills and Experience
  • Basic to intermediate Python scripting capability.
  • Ability to read, understand and modify existing Python code.
  • Experience working with structured and unstructured files, including PDF, Excel, Word, email attachments, ZIP files and folders.
  • Ability to analyse business documents carefully and identify relevant data fields.
  • Good understanding of data validation, exception handling and reconciliation.
  • Strong attention to detail and accuracy.
  • Ability to document technical issues and extraction logic clearly and logically.
  • Good analytical, troubleshooting and problem-solving skills.
  • Willingness to learn reinsurance concepts, treaty structures and underwriting submission processes.
  • Good communication skills and ability to work effectively with project stakeholders.
Preferred Skills
  • Experience in the reinsurance or insurance industry.
  • Experience with data extraction, OCR, document parsing or automation workflows.
  • Experience using Python libraries for document and file processing, such as:
  • Pandas
  • OpenPyXL
  • PyPDF / PDFPlumber
  • Python-docx
  • Regular expressions
  • JSON and CSV processing
  • Experience in RPA, intelligent document processing or AI-assisted automation.
  • Exposure to insurance, banking, finance, actuarial, audit or consulting projects.
  • Experience validating extracted data against source documents and maintaining data lineage.
  • Familiarity with underwriting, treaty or policy-related documents would be an advantage.
Candidate Profile

The ideal candidate is a practical and detail-oriented Python developer who is comfortable working with complex business documents and adapting existing scripts to different file formats and transaction cases.

This role does not require advanced machine-learning model development. It is focused primarily on Python scripting, document extraction, data validation, testing and process repeatability.

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