Specialist , Fraud Technology
- Philippines
- Permanent
- Full-time
- Innovation & Development
- Identify emerging fraud threats, technologies, and methodologies and develop innovative solutions to address them.
- Assist in the design and implementation of new fraud detection tools, leveraging AI/ML, behavioral analytics, real-time monitoring, and automation.
- Collaborate with product and engineering teams to integrate fraud prevention capabilities into fintech services.
- System Enhancement & Optimization
- Monitor and analyze the performance of existing fraud systems.
- Recommend and implement improvements to increase detection accuracy and reduce false positives.
- Support continuous integration and deployment of fraud technology updates.
- Collaboration & Support
- Work closely with fraud operations, data science, engineering, cybersecurity, and compliance teams to align technology initiatives with business needs.
- Monitoring & Reporting
- Assist in building dashboards and reports to track fraud metrics, system performance, and ROI of fraud programs and initiatives.
- Conduct deep-dive analysis of fraud incidents and system performance. Perform impact analysis, root cause analysis, and retrospective evaluations to continuously strengthen fraud controls and enhance system resilience.
- Analytical Thinking: Ability to interpret complex data and identify fraud patterns.
- Technical Proficiency: Familiarity with fraud detection systems, data tools (e.g., SQL, Python), and fintech platforms.
- Innovation Orientation: Eagerness to explore and apply new technologies.
- Collaboration: Strong interpersonal skills to work effectively across teams.
- Adaptability: Comfortable working in a fast-paced, evolving fintech environment.
- Minimum 3 years' experience in fraud technology, risk analytics, or fintech / financial services operations.
- Proficient in tools such as Python, SQL, Tableau, or Power BI, as well as in machine learning and fraud detection platforms.
- SQL coding experience is a must.
- Strong understanding of fraud types (payment fraud, identity theft, synthetic identity, account takeover, etc.) and prevention techniques.
- Digital Banking, Wallet, and Lending experience will be preferred.
- Strong communication skills with the ability to collaborate effectively with cross-functional teams and support stakeholder engagement.
- BS or equivalent degree in Mathematics, Statistics, CS, IT, IS, Data Science, or equivalent fields
- Hands on experience with Fraud Technology & Systems in the Fintech or Financial Services industry.