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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 requirements. Stakeholder Engagement and Technical Enablement Act as a technical advisor for business, legal, compliance, data science, and engineering teams, driving adoption of PETs, regulatory and engineering best practices, responsible AI, and ethical technology. Incident Response and Technical Forensics Support incident investigations, root-cause analyses, remediation, and reporting for privacy breaches, regulatory failings, and AI system malfunctions. Other Tasks as Required Carry out other responsibilities and tasks as may be assigned to support and enhance privacy, regulatory, and AI governance operations across the organization. What We Offer Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
