Web3 Engineering Quant Jobs in Singapore, APAC

About the Role:We’re looking for a sharp, crypto-native Senior Product Analyst to join our Product Analytics team and lead data-driven decision-making across our Trading pillars. In this role, you’ll work closely with product managers, engineers, and designers to optimize user funnels, improve liquidity, and shape product strategy through deep, actionable insights.

Responsibilities:

• Define and monitor KPIs to guide product performance, trading activity, and user growth
• Analyze user behavior, trading patterns, and price sensitivity to uncover product opportunities
• Design and evaluate A/B tests and experiments to drive product improvements
• Conduct market liquidity analysis, helping teams optimize depth, spreads, and order book health
• Collaborate on event tracking, data quality, and experimentation frameworks with data engineering and platform teams
• Stay on top of crypto market trends and help translate macro shifts into actionable insights

Requirements:

• 4+ years of experience in product analytics, trading analytics, or quant/data science roles
• Proficient in Python, SQL, and experienced with data visualization tools (e.g., Tableau, Databricks, Looker, Mixpanel)
• Familiarity with A/B testing and product experimentation frameworks
• Deep understanding of crypto trading products on centralized or decentralized platforms
• Experience in market liquidity analysis – including depth, spread, execution quality, and market-making behavior
• Comfortable challenging assumptions, influencing cross-functional stakeholders, and owning the narrative with data

We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.