Senior Data Analyst

  • 35994
  • Non-Life - Actuarial
  • |
  • Hong Kong
  • |
  • Oct 9, 2019
Insurance
RESPONSIBILITIES
  • Innovate & develop predictive models and statistically rigorous advanced model scripts to support data science & analytics initiatives on machine learning/ deep learning.
  • Perform advanced analysis using statistical techniques & algorithms to facilitating effective targeting, segmentation, and identification of opportunities around cross-sell / up-sell, retention and marketing program optimization.
  • Ability to perform the big data analytics processes on massive data sets from different data sources: explanatory and targeted data analyses, generate and test working hypotheses, analyze historical data and identify features & signals.
  • Captures, tracks and dynamically diagnose models-in-use for effectiveness.
  • Compiling new external data sources for the enrichment of big data analytics database.
  • Manage BI solution development and implementation for various MI reporting.
QUALIFICATIONS
  • Graduate or advanced degree qualifications in quantitative related subjects.
  • 2+ years of relevant working experience in data analytics field as statistician / analyst / data scientist.
  • Good knowledge of predictive modelling, big data analysis, and data science projects: machine learning, statistical modeling, and data mining techniques & algorithms.
  • Solid experience in scripting/programming language like Python, R, SAS, SQL.
  • Sound experience in NLP is a plus.
  • Familiar with Azure and any BI tool will be advantage.
  • Previous exposure to / knowledge of insurance industry will be an asset.
  • Strong analytical mind with focus on attention to detail.
  • Proactive and with a can-do attitude.
  • Good command of English, Cantonese and preferably Mandarin.