Product Operation - Wealth Management

About the role

Hytech, a management consulting firm focused on digital transformation for fintech and financial services, is hiring a Product Operations professional for its wealth management practice in Singapore. The role owns growth operations for wealth management penetration and assets under management (AUM), through promotions, structured-product ramp-up and converting trading profits into investments, with a secondary scope covering card issuance and active card usage. The workplace is on-site.

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 (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 (audience, selling points, pacing), 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 grey-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.