About the role
Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation! G ka ba? Join the G Nation today! Key
Responsibilities Technical Assessment of Regulatory and AI
Requirements Evaluate and translate privacy, regulatory, and AI mandates (e.g., explainability, algorithmic fairness, data localization, consent management, accountability) into technical
requirements and robust system designs. Privacy Impact Assessments (PIAs) & Technical Risk Reviews Lead and conduct Privacy Impact Assessments and technical reviews of new products, systems, or significant changes, ensuring identification and mitigation of privacy and compliance risks in line with global data protection
requirements. AI Risk Assessments Perform risk assessments for AI systems to evaluate and mitigate privacy, regulatory, security, and ethical concerns associated with AI development and deployment, in compliance with recognized frameworks and industry standards. Privacy-Enhancing and AI Technology (PET/AI) Development & Integration Architect, develop, and deploy privacy-enhancing technologies (PETs) such as pseudonymization, encryption, and differential privacy, as well as advanced and trustworthy AI solutions ensuring compliance, fairness, and security. AI Solution Development Provide technical direction for the engineering of AI systems (e.g., machine learning models, automated decision engines) to ensure design and operation meet principles of fairness, transparency, accountability, and privacy. AI Governance Implementation Develop and maintain operational processes and technical controls for AI governance, including risk assessments, monitoring, performance and impact evaluation, and compliance mapping to relevant regulatory and ethical frameworks. Compliance Automation & RegTech Solutions Engineer automation tools for regulatory and AI-specific compliance monitoring, reporting, documentation, versioning, and audit functions (e.g., model cards, consent records, bias detection). Data Lifecycle and ML Model Management Work with data engineers and ML specialists to ensure strong privacy, security, and AI controls throughout data and model lifecycles (including collection, preprocessing, training, deployment, retention, deletion). Monitoring, Metrics, and Continual Improvement Create monitoring systems, dashboards, and key metrics for privacy, regulatory, and AI controls; proactively identify and address areas of technical non-compliance or exposure. Policy, Standard, and Guideline Development Contribute to the creation and review of technical standards, guidelines, and policies addressing privacy engineering, regulatory compliance, and AI governance
