Data Analytics Specialist

4 weeks ago


Hong Kong, Central and Western District, Hong Kong SAR China Moody's Full time
About the Role

We are seeking an experienced professional to join our Predictive Analytics team in the APAC and Middle East region. As a key member of our team, you will be responsible for supporting research, customer success, and business development initiatives.

Key Responsibilities
  • Collaborate with our research and modeling team to design and develop innovative analytical solutions using advanced machine learning methodologies.
  • Represent our risk modeling expertise in the region, working closely with internal teams and local sales teams to promote our solutions.
  • Develop thought leadership content and deliver presentations to internal and external audiences to demonstrate the value and application of our analytical solutions.
  • Partner with sales teams and account development teams to drive client retention and expansion of business opportunities.
  • Provide analytical support for product strategy decisions, including product localization efforts and data exploration for regional partnerships.
Requirements
  • Strong academic background in Statistics, Economics, Data Science, Mathematics, Physics, Finance, or a related field.
  • Proven track record of managing and growing customer relationships, driving customer satisfaction, and reducing churn.
  • Demonstrated ability to set strategic direction and effectively manage cross-functional teams to achieve goals.
  • Excellent communication skills, both written and verbal, with the ability to present complex concepts clearly and persuasively.
  • Strong interpersonal skills with the ability to collaborate effectively with internal teams.
About Moody's

Moody's is an equal opportunity employer. We are committed to creating an inclusive environment where everyone feels welcome to be who they are. We strive to turn today's risks into tomorrow's opportunities by investing in every relationship, leading with curiosity, and championing diverse perspectives.



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