What you will do:
- Provide data-driven insights to improve decision making and identify business opportunities
- Build and enhance various creditability scoring models
- Evaluate performance for product experimentation
- Help improve data collection for website and mobile apps to better understand user behaviors
- Present findings to different types of audiences
- Facilitate some simple data queries/extraction that help business operations
- Research for better improvements in data analytics area
What to bring:
- Some hands-on experience in crunching data to uncover insights by writing SQL,
Python, R scripts, and being familiar with spreadsheets
- A passion to gain a deeper yet practical understanding of statistics
and econometrics techniques
- Fair understanding of what drives the success of predictive model implementation
for subject creditability purpose
- Some technical knowledge in data collection from websites or mobile apps
- Ability to translate business problems into analytics questions, bounce ideas,
and communicate findings
- Intermediate fluency in English
Some hands-on experience in the following areas would be great, but not necessary:
- Machine Learning engineering
- Operations Research (mathematical optimisation)
- Business Intelligence tools for data democratisation
- Data visualisation development in web browser
- NoSQL databases and Big Data platforms
- Data Engineering and Software Engineering
