Senior Data Analytics Modeler


5 months ago


  • Drive the key data initiatives that contributes to the overall Data Analytics Product roadmap and strategy for the business
  • Qualitative and Quantitative Analysis experience on the use of different industry dataset for the business use case development and solutions
  • To undertake periodic benchmarking exercise to ensure data quality on analytical data platform is within expectation
  • Be resourceful in researching for new data source to expand the existing data analytics products
  • Create or amend existing web crawling program using Python to obtain new data source.
  • Perform necessary quality control checking prior delivering data to client
  • Model Development experience using Data Analytics tools and Interpretation on Hadoop/Hive/Spark/Python/SAS/R Studio


  • Modelling experience on FSI Consumer and SME Data
  • Modelling experience on Consumer Finance Data
  • Modelling experience on Telco Behavioral Data
  • Model Validation experience and Portfolio Reporting
  • Modelling experience on Fraud Data
  • Modelling experience on Alternative Data
  • Bureau and Machine Learning Models
  • Create input for IT to extract data from CCRIS and alternative data sources.
  • Merge the input string and output string from IT.
  • Run validation generation code:
  • Create subset to calculate score statistics on score level;
  • Generate score bands. Create 5 or 10 bands automatically on Bureau and Client score;
  • Generate dual matrix solution.
  • Perform scorecard validation for SME Financial Ratios
  • Understand regulatory requirement i.e. (Basel or IFRS9) and use Bureau Data
  • Support project for Consumer/SME scorecard development and post development.
  • Demonstrate knowledge of supporting data processes.
  • Generate new analytics product segmentation.
  • Undertake analysis work for specific projects as required.
  • Assist in project research analysis on credit bureau operations / credit rating / credit analysis.
  • Responsible for project delivery beginning from understanding client’s requirement, designing an analytical solution for the problem, co-ordinating the project delivery with product team and presentation of results to the client
  • Any ad-hoc task assigned by HOD.


  • Degree/MBA qualified in at least one of the following: Statistics, Econometrics, Mathematics, Data Analytics, Data Science or related fields.
  • Excellent in written and spoken communication skills
  • Possess creativity and analytical thinking
  • A team player with a demonstrated ability to problem solve with effective solutions
  • Credit Risk Modelling and Validation experience
  • Credit Portfolio Reporting experience (desirable)
  • Banking and Telco Domain experience (desirable)
  • 3 to 5 years’ experience in a data analysis / risk analysis / scorecard/model developing environments.
  • Possess data analytical skills, preferably in credit data.
  • Skills in MS Office applications, in particular Word, Excel and PowerPoint
  • Strong communication, interpersonal and analytical skills with a meticulous and accountable approach to work.
  • Ability to multi-task, work proactively and thrive in a small team environment.
  • Ability to perform well to achieve task objectives under pressure of tight timelines.
  • Good oral and written English / Bahasa Malaysia (Optional).
  • Possess excellent listening, rationalization and problem-solving skills.
  • Experience in data analytics programming tools, i.e. SAS, R and Python Scripting, Spark Scripting, Hive Knowledge
  • Experience in database tools, i.e. SQL, Hadoop or any RDMS
  • Experience in BI Reporting tools, i.e. Pentaho, Tableau, Cognos


About the Company