Senior Analytics Manager (AI/Machine Learning) - Hang Seng Bank (HK)
- Employer
- Hang Seng Bank Limited
- Location
- Hong Kong, Hong Kong
- Salary
- Competitive
- Closing date
- Mar 14, 2025
View more categoriesView less categories
- Job Function
- Accounting/Audit/Tax
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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Job description
A Career with Hang Seng Bank
Hang Seng is committed to service excellence. Our people are our most important asset and play a vital role in our efforts to continually enhance our performance for customers and provide best-in-class products and services. We seek to attract high-calibre talent by offering a dynamic working environment, good career development opportunities and competitive compensation packages.
We are currently seeking high caliber professionals to join our department as Senior Analytics Manager (AI/Machine Learning)
Principal Responsibilities:
Requirements:
A Career with Hang Seng Bank
Hang Seng is committed to service excellence. Our people are our most important asset and play a vital role in our efforts to continually enhance our performance for customers and provide best-in-class products and services. We seek to attract high-calibre talent by offering a dynamic working environment, good career development opportunities and competitive compensation packages.
We are currently seeking high caliber professionals to join our department as Senior Analytics Manager (AI/Machine Learning)
Principal Responsibilities:
- 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 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.
Requirements:
- 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
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