Head Economist, Marketplace Strategy (Dispatch & Pricing)
Grab →Bangkok, Thailand
Bangkok, Thailand
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Listing record updated: October 2, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.
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The Head Economist for Marketplace Strategy leads the architectural logic for Dispatch and Passenger Pricing systems, bridging economic theory, data science, and commercial strategy. The role involves translating causal models into product roadmaps and influencing senior leadership to shape long-term strategy for ride allocation and pricing. The position requires leading a high-performing team to solve complex coordination problems, ensuring the marketplace remains balanced, efficient, and profitable. The candidate will report to the Head of Group Marketplace & Econs and is based in the Bangkok office.
Architect Marketplace Mechanisms: Own the economic logic behind core Dispatch and Passenger Pricing engines.
Shape the Roadmap: Own the strategic direction of the tech roadmap within the domain.
Influence & Stakeholder Management: Provide strategic advice to country heads and functional leaders.
Build & Scale: Lead, mentor, and grow a team of economists and data scientists.
Bridge Theory and Reality: Oversee the translation of theoretical economic models into real-world applications.
Advanced Analytics: Maintain oversight of causal inference, structural modeling, and machine learning.
Leadership: Demonstrated experience building relationships across functional teams and leading a group of independent technical contributors.
Strategic Depth: Ability to break down ambiguous, multi-year marketplace problems.
Communication: Good storytelling and presentation skills for senior stakeholders.
Relevant Background: Experience in marketplace design, pricing strategy, or economic consulting in a high-velocity tech environment.
Advanced Degree: Master's or PhD in Economics or a related quantitative field.
Causal Inference: Expertise in quasi-experimental methods (e.g., difference-in-differences, regression discontinuity).
Data Proficiency: Good command of SQL and statistical programming (R or Python).
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