For Recruiters

AVP/VP, Big Data Analytics and Machine Learning

China Construction Bank (Asia) Corporation Limited
Hong Kong
Posted 4 days ago In-Office Permanent Negotiable
E
Posted by
Eva Choi
Recruiter

Responsibilities

  • Explore the availability, access and transformation/ use of unstructured data (browsing data, voice, email, picture, videos) for analytics and customer contact purpose
  • Hands-on develop advanced analytics/ Machine Learning-based solutions to uplift effectiveness of analytics, modelling and customer contact riding on (i) supervised/ unsupervised Machine Learning techniques (ii) unstructured data e.g. digital footprint
  • Study and develop the business implementation of speech and text analytics
  • Integrate customer external and internal data, structured and unstructured
  • Develop close-loop learning path and ensure insights and learnings are carried out for continuous customer interactions
  • As the Subject Matter Expert, trainer and advocate to uplift the machine learning skillset and culture of existing analysts pool

Requirements:

  • Bachelor’s / Master's degree in Computer Science, Data and Information Management or a related discipline
  • A data scientist with minimum 8 years of hands-on experience in developing and executing large scale analytics deliverables/ projects in the Financial Services Industry
  • Deep experience in applying artificial intelligence and machine learning techniques/algorithms, infused with industry knowledge, to enhance business strategies
  • Strong in transforming analytical concepts and developments into business strategies and applications for the uplift of business value
  • Ability to build strong stakeholders’ relationships through thorough understanding of business requirements and the ability to analyse issues to find effective solutions
  • Solid experience in training analysts on machine learning techniques
  • Effective presentation, communication and interpersonal skills
  • Great sense of ownership and servicing mindset to ensure efficient and effective customer service processes
  • Proficiency in English and Chinese (both Cantonese and Mandarin)
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