Data Science Director

2 days ago


Hong Kong, Central and Western District, Hong Kong SAR China DBS Bank (Hong Kong) Limited Full time
Company Overview

DBS Bank (Hong Kong) Limited is a leading financial institution in Asia, with a strong commitment to innovation and excellence. Our Group Strategy, Transformation, Analytics and Research (GSTAR) team plays a crucial role in driving the bank's agenda forward, leveraging data analytics to create synergies and enhance career opportunities for data professionals.


Job Description

Lead AIML Solutions

  • Oversee a team of data scientists at the Data Analytics Centre of Excellence to develop and deliver Artificial Intelligence and Machine Learning (AIML) solutions that support the bank's strategic priorities across consumer banking, private banking, and institutional banking.
  • Collaborate with various data chapters and business stakeholders to drive revenue growth by implementing AIML solutions across different business units under the horizontal organization structure.
  • Develop and implement a comprehensive AIML roadmap for the bank, identifying areas of synergy between different business products and units from a holistic perspective.
  • Identify business opportunities where AIML can play a key role and prioritize initiatives accordingly.
  • Promote AIML culture across different business units, increasing transparency of AIML capabilities.
  • Provide advisory services on AIML application to data users and business owners.

Required Skills and Qualifications
  • Advanced degree in mathematics, statistics, information science, physics, or related disciplines, with a minimum of 8 years of work experience in machine learning, modeling, ideally with at least 3 years at the managerial level.
  • Strong business acumen, with the ability to address business needs and identify opportunities.
  • Hands-on experience in AI, machine learning, and modeling, with solid experience in implementing AIML solutions to drive business impact.
  • Excellent understanding of the data science production life cycle, with demonstrable experience working with structured, semi-structured, and unstructured data.
  • Proficiency in software skills, including Python and SQL, as well as knowledge in design patterns and code optimization.
  • Familiarity with software development best practices and tools, such as Agile, TDD, Jira, Jenkins, and Git.
  • Desirable: banking business domain knowledge.

Benefits

We offer a competitive salary and benefits package, along with the professional advantages of a dynamic environment that supports your development and recognizes your achievements.


Others

Only shortlisted candidates will be notified.



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