
Vice President- AI and Analytics, GAC HASE DATA ANALYTICS – RI
- Guangzhou, Guangdong
- Contract
- Full-time
- Mine, analyze and model large structured and unstructured data and apply advanced statistical, predictive models and leading machine learning algorithms to explore strategic solutions and actionable recommendations.
- Drive commercialization of advanced analytics-led solutions with appropriate methodology, manage the business application effectively and evaluate the results rigorously.
- Highly sensitive to state of business and anticipative of business problems and priorities.
- Contribute to team development, effectiveness and success by driving the build-up and delivery of AI/machine learning solutions.
- Explore the data and conduct quantitative analysis to ascertain root cause of business' issues, identifies opportunities and effective targeting for business growth potential.
- Collaborate and influence a wide range of partners / stakeholders to ensure the successful implementation of 7. AI/machine learning solutions with well defined performance measurement.
- Ensure timely and quality analytics deliverables to satisfy business needs effectively under the dynamic business environment.
- Sharing knowledge and good practice, working collaboratively with different parties to create a productive, diverse and supportive working environment.
- Adhere to HSBC policy, procedures and control requirements applicable to day-to-day working, exceptional and project activities.
- University degree in in Statistics, Mathematics, Computer Science, Information Systems or other related discipline.
- Minimum 10 years' working experience in analytics, modelling and machine learning/AI/Generative AI.
- With proven experience of people management or collaboration with offshore team.
- Extensive experience and skill in mining massive volume of data for quick insight discovery.
- In depth knowledge and experience with machine learning techniques and algorithms.
- Proficient in Python/R, SQL/BigQuery, Tableau/QlikSense on environments such as Google Cloud Platform (GCP) is a must
- Experience with 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.
- Ability to communicate with impact, with the capacity to ensure complex information is articulated in a meaningful way to a wide and varied audience.
- Effective communication, interpersonal, organizational, problem solving, presentation skill and strong business acumen.
- Great sense of ownership and servicing mind-set to ensure efficient and effective customer service delivery.