Business Function As the leading bank in Asia, Transformation and Data (T&D) supports our management on the implementation of the Group's agenda. Data Chapter, organized under T&D, is committed to create synergies between the data analytics functions across the bank, establish centres of excellence, shared services, and reusable data assets, as well as enhance career opportunities and the sense of community for data professionals.
Job description - Work with a team of data scientists within the Data Analytics Centre of Excellence to deliver cutting-edge AI/GenAI and machine learning solutions that support the bank's strategic priorities across consumer banking, private banking, and institutional banking.
- Collaborate closely with stakeholders across different Data Chapters and business units to drive measurable revenue impact through the implementation of AI/GenAI and machine learning solutions.
- Develop and execute a comprehensive AI/GenAI and machine learning roadmap for the bank, identifying synergies and cross-pollination opportunities between different business products and units.
- Proactively identify high-impact business opportunities where AI/GenAI and machine learning can be leveraged, from ideation and proof-of-concept (PoC) to implementation and success measurement.
- Increase the transparency and awareness of the bank's AI/GenAI and machine learning capabilities, and champion a culture of AI/GenAI adoption across different business units.
Requirements - Degree or above in mathematics, statistics, information science, physics, or a related discipline, with a minimum of 5-7 years of hands-on experience in machine learning and modeling.
- Demonstrated ability to understand business needs, identify opportunities, and translate them into impactful AI/GenAI and machine learning solutions.
- Proven track record of driving business impact through the successful implementation of AI/GenAI and machine learning initiatives.
- Excellent understanding of the data science production lifecycle, with extensive experience working with structured, semi-structured, and unstructured data.
- Proficient in software skills (Python, SQL) and knowledgeable in design patterns and code optimization.
- Familiar with software development best practices and tools (Agile, TDD, Jira, Jenkins, Git).
- Good to have - banking business domain knowledge
Apply Now We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.
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