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(Senior) Customer Analytics & Data Science Manager (Modeling)
Explore and create strategic solutions and actionable recommendations for the personal banking business by leveraging emerging AI technologies (e.g. Generative & Agentic AI, Reinforcement Learning, Machine Learning)
Collaborate with cross-functional teams to understand business needs and translate them 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, managing escalations to ensure deliverables and timelines are met with excellence.
Proactively identify new business opportunities and targeting strategies powered by AI technology advancements
Highly sensitive to the latest AI trend
Requirements:
Degree or above with major in Computer Science, Data Science, Information Systems or related discipline
3+ years' experience relating to analytics, modelling and machine learning/AI/Generative AI, at least 1 years of which at managerial level
Experience in Banking, Financial Services or FinTech industry preferred
Experience and knowledge in embedding techniques, RAG, promptings and LLM fine-tuning, involvement in search engine or recommendation system is a plus
Experience in machine learning model/AI/Generative AI related risk and control governance is a plus
A mature self-starter with strong drive, motivation, committed with good business sense and strong understanding of the personal banking market
Excellent interpersonal and communication skills with excellent written and spoken English and Chinese, knowledge of Mandarin would be a definite advantage
We offer competitive remuneration package and comprehensive fringe benefits including medical and life insurance, and different types of allowances to the right candidates. Interested parties, please submit your application online. For details, please visit our website http://www.bochk.com. Data collected would be used for recruitment purposes only. Applicants who do not hear from us within 8 weeks may consider their application unsuccessful and their data will be destroyed within 12 months of receipt.
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