Data Scientist (Analytics), Financial Services

About the role

Grab Financial Services (FS) Analytics partners with Product, Business, Risk, Design and Engineering across Lending, aiming to be the biggest FinTech lender in the region. The team sits inside the decisions, not downstream of them, and works with AI agents every day. The Data Scientist reports to the Senior Analytics Manager, Payments of Lending and works onsite at Grab HQ One-North in Singapore.

Key responsibilities

• Use data to understand user needs and act as the Voice of the Customer across Lending (users, driver-partners, merchants, agents)
• Unveil insights that help scale products and promote data-driven decision-making within Financial Services
• Partner with Product Managers, Business Owners, UX Designers and Engineers to design analytical projects that inform the product roadmap
• Produce data-driven hypotheses to solve product and business problems and guide Financial Services strategy
• Help design, run and read A/B tests, and interpret experiment results
• Build and maintain dashboards, metric definitions and the data relied on by partners
• Use AI tools daily to write SQL and Python, explore data and automate repetitive work, checking outputs before sharing them
• Share progress and findings early and explain data in plain language

Required profile

• 0 to 3 years in analytics, data science or a related role; internships or research projects count
• Degree in Statistics, Economics, Mathematics, Engineering, Computer Science or a related field
• Experience using AI tools in daily work, with something built or automated shown
• Ability to explain an analysis to non-data people, curiosity and fast learning
• Nice to have: interest in FinTech, lending or banking, and 1+ years with a visualisation tool

Required skills

• Solid SQL and working Python
• Good grasp of statistics and hypothesis testing
• Hands-on A/B testing experience is an advantage

What we offer

• Term life insurance and comprehensive medical insurance
• GrabFlex benefits package
• Parental and birthday leave, plus volunteering leave
• Confidential assistance programme
• FlexWork arrangements such as differentiated hours