Business Analytics, VP Business Analytics, VP …

Non-disclosed
in Guangzhou, Guangdong Sheng, China
Permanent, Full time
Be the first to apply
12-month fixed + Performance bonus
Non-disclosed
in Guangzhou, Guangdong Sheng, China
Permanent, Full time
Be the first to apply
12-month fixed + Performance bonus
You will be mainly accountable for credit card sector under retail banking, to leverage advanced machine learning & AI technology to innovate data product design, drive new business model and create an impact on millions of customers.
  1. Lead to build up a machine learning team of data scientists/data analysts to develop machine learning/deep learning models, and to convert them into analytical products
  2. Work closely with stakeholders to scope and define anlaytics needs, to drive business expansion with advanced tech tools.
  3. Identify key analytics competencies and skillsets within the team in order to scale new approaches more broadly across the retail banking Analytics teams

Requirements:

  • Master or PhD degree, major in quantitative disciplines such as Statistics, Mathematics, Computer Science, Engineering, Operations Research, Physics or a related discipline with a focus on use of analytics and optimization to influence business decisions.
  • Business domain knowledge of credit card is required.
  • Hands-on knowledge in one of the following data analytics domains: machine learning, natural language processing/generation, computer vision, deep learning and advanced analytics.
  • Experience in working with large volume of data with database systems (e.g. SQL, NoSQL, Postgres, etc.)
  • Experience in working with cloud-based data ecosystems (e.g. data lake, AWS, GCP, etc.). Scripting language capabilities in Python, R, SAS, Java or Scala
  • Capable of working with  senior stakeholders and cross-functional teams in an Agile environment, strong in business engagements.
  • Good leadership and strong coaching skills to train up junior staff and keep developing the team competencies.

 

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