Grab’s lending business (GFSA – Grab Financial Services Asia) is a recent addition to Grab’s array of product and service offerings focused on extension of Micro credit to drivers, agents and merchants in Grab’s ecosystem. GFSA team is a combination of strong talent pool in its Regional Hub (Singapore) and deep local market operators across its focus markets. We are incredibly excited about the opportunity ahead of us. We are looking to put together the best possible combination of business build drive, industry expertise and local market depth as part of our team. GFSA team is responsible for end to end conceptualization, design, development, execution and ongoing management of all lending activities in its focus markets and segments.
The Data Science (Data Analytics) team analyzes data from multiple sources, extracts trends/patterns and identifies improvements. It turns data into information, information into insights and insights into business decisions.
Get to know the Role:
Develop and implement data collection, data analytics and other strategies to analyze statistical efficiency and guide decision-making
Work with data scientists and other functions to deep dive on core issues and prioritize business and information needs
Measure and analyze algorithm and model performance, uncover insights and/or identify targeted areas for improvements
Design experiments and A/B tests, and operationalize them
Monitor performance metrics to identify issues, new process or feature improvement and business growth opportunities
Effectively conceptualize analysis to various stakeholders
Design and implement reports and performance measurement dashboards
The must haves:
A Bachelor's/Master’s degree, preferably in Analytics, Statistics, Mathematics, Economics or Engineering
Minimum 2+ years relevant work experience in an analytics or insights related role.
Technical expertise regarding data models, data mining and segmentation techniques.
Strong foundation in data query/manipulation using SQL and data visualization using tools like Tableau
Strong programming languages like R, Python, SPSS, Matlab or other tools for statistical analysis
Strong analytical skills with the ability to collect, organize and analyze significant amount of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Self-motivated and independent learner who is willing to share knowledge with the team
Detail-oriented and efficient time manager who thrives in a dynamic and dynamic working environment
