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The Risk Management Division Head at GCash is responsible for balancing risk mitigation with business activities, examining risks in relation to the organization's risk appetite, and making informed decisions on operational risk management. This role guides strategies for effective risk management and fosters a risk-aware culture within the organization.

As a Product Manager at GCash, you will forecast product performance, define product strategy, and monitor its commercial success. You will be an expert on the product and market, manage in-life products, and drive collaboration across teams to get products to market effectively.

The Portfolio Risk Analyst will review loan portfolios, maintain reports and dashboards, conduct analyses for credit policy development, document policies, prepare financial projections, and identify risks. They will collaborate with various teams to drive data-informed decision-making regarding portfolio quality.

The Enterprise Operational Risk Operations Lead supports the implementation and assessment of operational risk strategies, develops risk policies, conducts risk evaluations, and monitors key risk indicators. They assist in root cause analysis of risks, oversee compliance incidents, and prepare reports for senior management to ensure effective risk management and ongoing improvement in operational processes.

Implement and provide input to the product roadmap, manage ad hoc tasks, support team members, champion product reference materials, support partner acquisition and retention, enhance product offerings, collaborate with cross-functional teams, work with platforms team and card operations team.

The Data and AI Success Manager at GCash is responsible for promoting and implementing Data and AI solutions to achieve business goals. This role focuses on building relationships, ensuring successful adoption, and driving data-driven innovations while fostering compliance with data privacy regulations.

The Reports Operations Engineer will manage report distribution, monitor automation workflows, and ensure performance optimization. Responsibilities include creating alerts, performing capacity planning, handling ad hoc data queries, and maintaining documentation for operations support. Shift work is required.