Product Operation - On-Platform Operations

About the role

This is an on-platform operations role within a fintech platform, based on-site in Singapore. It sets a unified user lifecycle standard and owns new-user conversion to stable trading, designing 30-day activation journeys, tiered upgrade paths and dormant/churned-user recovery. The role also coordinates site-wide outreach resources such as push frequency, placement allocation and content calendar, executes on-platform configurations and collaborates with the customer retention (CR) team.

Key responsibilities

• Define the North Star metric and process metrics for the area, break them down into actionable steps and be accountable for hitting the targets.
• Use data analysis to find drop-off points in the user funnel and deliver operational plans covering path optimisation, campaign mechanics, incentive rules, content and outreach strategy, including cost estimation and target setting.
• Write BRDs, work with product managers to secure scheduling, take part in PRD and test case reviews, and complete business acceptance after launch.
• Work with Marketing on go-to-market and materials, align metric definitions and user tags with the Data team, and align campaign rules and messaging with Risk Control and Compliance.
• Provide product briefings, talk tracks and training materials, taking initiative rather than waiting for support.

Required profile

• 3+ years of product operations experience in internet or fintech.
• Able to independently own performance targets and show clear, quantifiable past achievements.
• Proactive mindset, able to deliver presentations and enablement to sales.
• Strong cross-team collaboration, proactively aligning with adjacent teams on joint plans.

Required skills

• Pulling and running data, breaking down funnels and segmenting users.
• Designing gray-release or control-group experiments and interpreting results without a dedicated data analyst.
• Writing operations-side requirement documents and securing engineering schedules with business data and solid arguments.