AI Strategy Lead, Personal Banking & ML

PI Business Consulting Limited; Hong Kong; On-site; HKD 600,000 - 1,000,000; Full time

Job summary

PI Business Consulting Limited is seeking a seasoned AI strategist to shape the personal banking AI roadmap, leveraging Generative & Agentic AI, RL, and ML to deliver practical solutions.

Collaborate with cross-functional teams to translate business needs into scalable technical solutions, and develop AI models that meet business objectives while adhering to regulatory requirements and risk governance expectations.

Qualifications

• Degree or above in Computer Science, Data Science, Information Systems or related discipline.
• 4+ years in analytics, modelling and machine learning/AI/Generative AI, at least 1 year of which at managerial level.
• Banking, Financial Services or FinTech experience preferred.
• Experience embedding techniques, RAG, prompts and LLM fine-tuning; familiarity with search/recommendation systems a plus.
• Experience in AI-related risk and governance is a plus.
• Mature self-starter with strong business sense and market understanding of personal banking.

Responsibilities

• Explore strategic AI solutions for the personal banking business using Generative AI, Agentic AI, RL and ML.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Develop and refine AI models to meet business objectives and regulatory requirements.
• Identify and evaluate suitable AI vendors for specific use cases and manage escalations to ensure deliverables and timelines.
• Stay highly up to date with the latest AI trends.

Skills

AI/ML expertise

Leadership

Banking domain knowledge

RAG & prompts

LLM fine-tuning

Regulatory awareness

Business sense

Education

Bachelor's degree in CS/Data Science/IS

Job description

PI Business Consulting Limited is seeking a seasoned AI strategist to shape the personal banking AI roadmap, leveraging Generative & Agentic AI, RL, and ML to deliver practical solutions.

Collaborate with cross-functional teams to translate business needs into scalable technical solutions, and develop AI models that meet business objectives while adhering to regulatory requirements and risk governance expectations.