Top Tech Jobs & Startup Jobs

Design, develop, and support cloud-native trading, analytics, and risk-management applications on Azure. Integrate market data and AI/ML capabilities, maintain CI/CD pipelines, collaborate with product and business stakeholders, and drive Agile engineering best practices to deliver scalable derivatives technology.

Provides compensation administration for financial advisors across distribution channels. Responsibilities include validating and processing compensation entries, applying bonuses and wires, handling tax documents, rejected payments, and commission calculations, managing workflow and deadlines, resolving complex inquiries, maintaining audit requirements, escalating system issues, and identifying process improvements. The role requires collaboration with internal departments and independent judgment in managing high-volume transactions.

Responsible for financial data production, reporting, analysis, and forecasting for stakeholders in Global Wealth and Asset Management, including report preparation and process improvement.

Prepare statutory and regulatory financial reports for life and non-life insurance entities, including filings, financial statements, reconciliations, and board reporting. Coordinate financial close activities, investigate variances, support audits, maintain documentation, and identify process improvements and automation opportunities. Collaborate with global stakeholders to ensure accurate, complete, and compliant financial reporting.

Leads cybersecurity transformation across Asia by translating global strategy into adoptable plans, improving security processes, managing intake and prioritization, strengthening security culture, and coordinating stakeholders across business, technology, markets, and global cybersecurity teams. The role uses structured change management, process reengineering, behavioral insights, communications, and risk-based decision-making to improve adoption, accountability, and cybersecurity outcomes.

Designs, develops, tests, implements, and maintains RPA, low-code, and AI-powered automation solutions. Translates business requirements into scalable workflows, manages scripting, integrations, testing, error handling, documentation, and production support. Collaborates with stakeholders and Agile teams to identify automation opportunities, resolve issues, improve standards, and deliver technical proofs of concept. Shares knowledge through mentoring and training while staying current with intelligent automation and emerging AI technologies.

Supports cybersecurity operations by collecting, analyzing, and interpreting data to identify risks, anomalies, and emerging threats. Executes defined processes, maintains operating procedures, recommends efficiency improvements, and contributes to automation and process optimization. The role requires strong analytical skills, attention to detail, communication abilities, and foundational knowledge of scripting, queries, networking, and cyber monitoring. It is hybrid in Quezon City and requires night-shift availability.

Leads Takaful expertise for Global High Net Worth business, advising banks, brokers, internal leaders, and other stakeholders. Presents Shariah principles and Takaful propositions, translates technical concepts into practical messaging, supports partner engagements, gathers market feedback, and strengthens internal capability through training and technical guidance. Coordinates with Product, Shariah, Legal, Compliance, Risk, Marketing, and Distribution teams to ensure accurate, controlled communications and market readiness.

Senior Business Analyst leading requirements discovery, solution design, stakeholder alignment, and troubleshooting for Adobe Experience Manager and enterprise design systems. The role translates business objectives into scalable web and mobile experiences, documents functional and accessibility requirements, supports publishing workflows, facilitates Agile ceremonies, and coordinates Marketing, Design, Engineering, QA, Accessibility, and Product teams.

Develop and lead machine learning and generative AI projects, including prompt engineering, RAG applications, LLM fine-tuning, synthetic data generation, experimentation, and cloud deployment. Clean and analyze large datasets, collaborate with data and ML engineers, define business requirements, communicate technical findings, and conduct peer and code reviews.