Data Analytics Manager - Banking - SAS, R and Python.

  • AUD0.00 per annum
  • Hong Kong
  • Permanent, Full time
  • Morgan McKinley Hong Kong
  • 18 Jan 17

A Global Bank is looking for a Data Analytic Professional to join their product units to support business functions in generating insights from structured and unstructured data for their business and strategic initiatives.

Data Analytics Manager.

Principal responsibilities

    • Analytics Modelling - Validating analytics scenarios by means of prototypes or pilot solutions and conduct customer centric analysis to identify factors contributing to business opportunities for growth and customer retentions.

    • Foster new data-driven approaches to generate business insight in order to address unanswered business problems in a proactive way.

    • Provide guidance and training to offshore analytics team

    • Contributing to new idea in methodology and modelling, machine learning algorithms and report visualization

    • Involve in projects in transforming the regional business analytics reporting and analytics capabilities.

Qualifications

  • Master Study or Ph.D. in a quantitative discipline: e.g., statistics, applied mathematics, physics, operations research, computer science, engineering.

  • Recent track record of working experience in banking industry, FinTech related or few years of relevant working experience if the candidate holds a Doctor of Philosophy degree.

  • Strong knowledge and experience in big data, machine learning algorithm, predictive algorithms, statistics modelling and data mining.

  • Possess strong skills in analytical tools such as SAS, R and Python.

  • Ability to translate business problems into information & mining questions and communicate complex analysis results in a clear, precise and actionable manner.