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 conceptualisation, design, development, execution and ongoing management of all lending activities in its focus markets and segments.
Get to know the Role:
Determine and acquire the datasets needed to be collected from internal and external sources
Design and implement databases and data schemas for new products and digital solutions
Management of campaign reporting, MIS, analysis and derivation of key success KPIs
Design and ownership of Dashboard in Tableau, Holistic's, other MIS and dashboard reporting
Work with data scientists, technology teams and other functions to deep dive on data solutions and prioritise business and information needs
Assist data science teams in developing tools, metrics, and systems to analyse large-scale internal and external datasets to identify opportunities to improve solutions’ efficiency, accuracy for a more targeted product offering.
ETL, Profiling and segmentation of datasets for tactical data mining tasks
Test for incoming data quality (exploratory data analysis) and build and execute UAT test cases at the point of deployment of analytics models
The must haves:
A Bachelor's/Master’s degree, preferably in Analytics, Statistics, Software, Mathematics, Economics, Computer Science or Engineering
3-6 years relevant work experience in Data warehousing, BI, analytics or insights related role
Expert in SQL, Presto, Hive coding skills
Expert in Tableau and creating dashboards
Proficient with working on Big databases
Proficient in Excel
Strong analytical skills with the ability to collect, organise and analyse significant amount of information with attention to detail and accuracy
Knowledge of data models, data mining and segmentation techniques
Self-motivated and independent learner
Detail-oriented and efficient time manager who thrives in a dynamic and dynamic working environment