Job description
Responsibilities:
- Support the development and implementation of AI and digitalization projects within the business unit, translating business requirements into practical AI-enabled solutions.
- Develop AI Agents and workflow automation solutions using Python, low-code/no-code AI platforms and relevant AI technologies.
- Perform data extraction, processing, analysis and data mining to identify business insights and support AI use cases.
- Work closely with business users to understand operational pain points, identify suitable AI opportunities, and develop prototypes or Proof-of-Concepts (PoCs).
- Support testing, deployment, enhancement and ongoing maintenance of AI solutions to ensure they deliver measurable business value.
- Assist in transferring technical knowledge and AI capabilities to business users, helping strengthen the business unit’s internal digital and AI capabilities.
- Coordinate with IT, Data and other relevant teams to ensure solutions comply with our Bank’s technology, data security and governance requirements.
Requirements:
- Bachelor degree or above in Computer Science, Data Science, Engineering, or related disciplines.
- Minimum 2 years of relevant work experience in financial institutions, digital project management experience, including artificial intelligence, process automation, data analytics, and related initiatives, is preferred.
- Good programming skills in Python, with practical experience in data processing, analysis and automation.
- Knowledge of data analytics, data mining and basic machine learning / AI techniques, with the ability to work with structured and unstructured data.
- Familiarity with Generative AI, Large Language Models (LLMs), AI Agents, prompt engineering, RAG or AI workflow development would be an advantage.
- Experience with low-code/no-code development platforms, APIs, databases or cloud-based applications would be a plus.
- Strong problem-solving mindset and ability to understand business requirements and convert them into workable technical solutions.
- Good communication skills and willingness to work closely with non-technical business users.
- Good written and verbal communication skills in both Chinese and English, including good Putonghua communication skills.