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

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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