Analytics Manager II, Financial Services

Get to Know the Team

The Analytics team empowers data-driven decision-making across our product and business units within the Grab Financial Services ecosystem. As part of our Financial Services tech family, we help scale digital financial solutions across Southeast Asia. If you thrive on complex problem-solving and have a passion for data wrangling, advanced modelling, and statistical experimentation, you'll find a collaborative and ambitious team here. Beyond technical craft, we value individuals who embody our core principles—the 4Hs: Heart, Hunger, Honour, and Humility.

Get to Know the Role

You'll lead our payments analytics team, collaborating directly with Product, Engineering, Design, Business, and Data Science partners to define data strategies, track ecosystem metrics, and unlock actionable growth levers. You'll evaluate the viability of new payment features and provide high-impact recommendations to senior leadership. You'll report to the Senior Manager, Financial Services and will be based onsite at Grab One North Singapore office, and offers significant scope to shape product analytics and mentor high-caliber analysts.

The Critical Tasks You Will Perform

• You will formulate hypotheses and model business opportunities to solve key payments challenges, adapting in-production models across regional markets to accelerate product velocity.
• You will partner with product and engineering teams to design, execute, and evaluate controlled experiments that directly determine product rollout decisions.
• You will build advanced statistical and econometrics models (e.g., mixed-effects, causal inference, and anomaly detection) to measure user behaviors and monitor product health.
• You will establish analytics and measurement standards, guiding the creation of internal analytics frameworks and tools that streamline data summarization and debugging for cross-functional partners.
• You will mentor and develop analytics team members, establishing strong statistical rigor, technical capability, and best practices across the team.
• You will direct the team's adoption of GenAI workflows (e.g., natural language to SQL, automated exploratory data analysis, and report generation) to increase operational efficiency and embed AI-assisted analytics into daily operations.