Position overviewPosted 2 weeks ago
Head Economist, Marketplace Strategy
Grab →Full-timeNot specified
Bangkok, Thailand
Compensation
THB 280,000 - THB 420,000
THB / month
Estimated range. Confirm compensation with the employer.
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Listing record updated: October 8, 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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About the position
The Head Economist for Marketplace Strategy will be the architectural lead for the economic logic powering Grab's Dispatch, Pricing and/or Supply Planning systems across Southeast Asia. Reporting to the Head of Group Marketplace & Econs, the role combines economic theory, data science, and commercial strategy, leading a team to solve marketplace coordination problems and translate causal models into product roadmaps.
The position requires leadership of economists and data scientists, strategic advice to country heads and functional leaders, and oversight of experimental design and structural modeling applied to dispatch and pricing algorithms. Essential qualifications include an advanced degree in Economics or a related quantitative field, expertise in causal inference, and proficiency with SQL plus R or Python.
Responsibilities
Architect the economic logic behind Dispatch, Pricing, and/or Supply Planning engines, including incentive frameworks and clearing mechanisms.
Own the strategic direction of the tech roadmap within the domain using data-driven insights.
Provide strategic advice to country heads and functional leaders, distilling economic concepts into actionable insights.
Lead, mentor, and grow a team of economists and data scientists.
Guide the team in causal inference, structural modeling, machine learning, and A/B testing to optimize dispatch logic and price elasticity.
Requirements
Advanced degree (Master's or PhD preferred) in Economics or a related quantitative field, or equivalent high-level professional experience.
Demonstrated experience leading a group of independent technical contributors across functional teams.
Experience in marketplace design, pricing strategy, or economic consulting within a high-velocity tech environment.
Expertise in causal inference and quasi-experimental methods such as difference-in-differences or regression discontinuity.
Proficiency in SQL and statistical programming in R or Python, plus the ability to compute and analyze complex, high-velocity datasets.
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