Regional Analytics and Data Science Lead – Global Financial Services Organization Regional Analytics and Data Science Lead – Global  …

NLS
in Hong Kong
Permanent, Full time
Last application, 20 Oct 21
Upto HKD 1.5 million per year depending on experience
NLS
in Hong Kong
Permanent, Full time
Last application, 20 Oct 21
Upto HKD 1.5 million per year depending on experience
Posted by:
Joel Azariah • Recruiter
Posted by:
Joel Azariah
Recruiter
A fantastic opportunity to join one of the world’s leading financial services providers as a regional specialist leader in their analytics and data science team that covers 14+ markets in Asia. This position will play a critical role in strategizing and overseeing the interface between analytics and business and executing analytics solutions for key stakeholders across business units in Asia.

About the Company Culture:

Multicultural and rapidly growing digital focus. This role offers the opportunity to work with the top talents in the analytics and data science fields in Hong Kong.

 

Responsibilities:

  • Design analytics campaigns that you will plan and execute on a group-wide analytics plan that will directly contribute to the achievement of the growth goals across all holdings under the company
  • Analyse and report management data to support decisions on day-to-day operations, strategic planning and specific business performance issues
  • Analyse and summarise business, operations, customer and economic data in order to develop business intelligence and optimise effectiveness
  • Prepare ongoing reports and data visualisations including charts, dashboards, heat maps senior stakeholders including the C-level
  • Ensure data best practices and be a thought leader in building a data informed culture
  • Leverage data analytics and data science resources to offer actionable insights
  • Define and build processes, only to break them down and evolve them again, as the business needs
  • Provide turnarounds on requests for one off projects that support key company initiatives and partnerships

 

*Requirements:

  • At least 8 of years working experience, with extensive hands-on experience in developing AI and Machine Learning solutions;
  • Proven hands-on experience in the use of at least one advanced data analysis platform (e.g. Python, R, SAS);
  • Exposure to all stages of data analytics project lifecycle (scope definition, data requirements, extraction, exploration, transformation, solution development, tracking);
  • Demonstrable understanding of data quality risks and ability to carry out necessary exploratory data analysis and quality checks to validate results obtained;
  • Knowledge of a variety of machine learning techniques (clustering, decision tree, random forest, artificial neural networks, etc.);
  • Excellent relationship management, strong team building, and the ability to work across business units and functions to drive positive business outcomes;
  • Sound knowledge of programming in SQL or other programming experience;
  • Articulate, with excellent oral and written communication skills. Adaptable, able to interact and build strong relationships with people from a diverse range of backgrounds;
  • Experience in big data environment and tools such as Hadoop, Hive, Datameer is desirable
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