Responsibilities:
- 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
Accountabilities:
- 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.
Requirements:
- 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