Business Analyst - Fraud Risk Management (Hybrid)

<div><strong>About Sybrin:</strong></div><div><br>Sybrin is a leading IT software development company specialising in innovative solutions tailored to meet the evolving needs of businesses across various sectors. Our mission is to empower businesses with cutting-edge technology solutions that drive efficiency, enhance customer experiences, and facilitate growth.<br>At Sybrin we pride ourselves on delivering high-quality products and secure solutions, thanks in part to the combination of the ISO 9001 for Quality Management System and ISO/IEC 27001 for Information Security Management System certifications, and our commitment to data protection, demonstrated by our implementation of ISO/IEC 27701 Privacy Information Management System.

As an employee of Sybrin, you will be expected to familiarise yourself with the contents of the Integrated Management System, as well as undergo periodic training to better understand your unique role in the security, quality, and privacy ecosystem within Sybrin, and uphold the principles in Sybrin’s Integrated Management System. The Integrated Management is a significant business enabler and as such, ensuring our customers are receiving quality, secure service at every touchpoint within the organisation is critical.<br><br><strong>Role

Overview:

</strong><br>We are looking for a highly analytical and locally experienced Business Analyst to join our team in the Philippines.<br>This role that combines product ownership, business analysis, implementation support, and local regulatory understanding. You will act as the bridge between business stakeholders, compliance users, product teams, technical teams, and implementation partners to support the rollout of Sybrin’s Fraud Risk Management solutions in the Philippine market.<br>You will play a key role in the implementation of the Sybrin’s Fraud Risk Management System which includes Sybrin Transaction Monitoring and Sybrin Compliance Workspace.

Your main focus will be to ensure that fraud detection typologies, maker checker workflows, investigation processes, case management functionality, and compliance related configurations are practical, locally relevant, and aligned to Philippine regulatory requirements.<br>The role is suited to someone who understands financial crime compliance, can translate business and regulatory needs into clear product and system requirements, and is comfortable working closely with both compliance stakeholders and software engineering teams.<br><br><strong>Qualifications and

Experience:

<br></strong>

•    Bachelor's degree in a relevant field; a master’s degree is a plus.<br>
•    Proven experience as a Business Analyst or Product Owner or in a similar role within the tech industry.<br>
•    Strong understanding of product development processes, methodologies, and tools.<br>
•    Experience with agile development practices is a plus.<br><br><strong>Reporting Line:</strong> Product Manager / Head of Implementation<br><br><strong>What You Will Be Doing:<br></strong>
•    As a Business Analyst, you will wear multiple hats—part problem-solver, part compliance strategist, and part product expert. Your day-to-day responsibilities will include:<br><br><strong>Key

responsibilities:

<br></strong>

•    Requirements Gathering & Mapping: Translate the complex needs of local banks and fintechs into actionable system configurations, ensuring alignment with Bangko Sentral ng Pilipinas (BSP) mandates and the Anti-Money Laundering Council’s (AMLC) reporting guidelines.<br>
•    System Configuration & Typology Design: Work hands-on with the Tazama Rules Engine to configure and calibrate fraud and money laundering typologies (e.g., money mules, account takeovers, velocity anomalies) using incoming ISO 20022 transaction data.<br>
•    Workflow Optimization: Design and implement investigative workflows within the Sybrin Compliance Workspace, setting up role-based access (Maker/Checker/Operator) and automated Service Level Agreements (SLAs) for alert triage.<br>
•    Regulatory Alignment: Ensure the platform natively supports localized compliance requirements, including the Anti-Financial Account Scamming Act (AFASA), by configuring the necessary dispute and hold workflows.<br>
•    Cross-Functional Collaboration: Partner closely with system integrators, software engineers, and QA teams to validate that the end-to-end flow—from transaction ingestion to case resolution—functions flawlessly.<br>
•    User Enablement: Assist in creating localized documentation, testing scenarios, and training materials for the end-users (fraud investigators and compliance officers) interacting with the Sybrin UI.<br><br><strong>What You Bring to

the Role:

<br></strong>We need someone who understands the nuances of the Philippine financial sector and knows how to implement software that solves real-world compliance headaches.</div><div><br>

•    Local Market Expertise: Deep understanding of the Philippine financial regulatory landscape, specifically AMLA, BSP circulars, and AMLC CTR/STR reporting standards.<br>
•    Domain

Experience:

Proven track record working as a Product Analyst, Business Analyst, or Implementation Consultant on AML, Fraud Risk Management, or Transaction Monitoring software implementations.<br>

•    Technical Aptitude: Familiarity with modern payment architectures and messaging standards (especially ISO 20022 and JSON) to effectively map data into the Tazama engine.<br>
•    Analytical Mindset: Strong ability to analyze transaction flows, dissect fraud schemes, and translate them into logical detection rules and typologies.<br>Exceptional Communication: The ability to speak the language of both software engineers and compliance officers, facilitating clear and productive discussions.</div><div style="text-align: left;"><br></div><div style="text-align: left;"><strong>Advantageous

Skills:

<br></strong>AI/ML Knowledge: While this role focuses on rule-based detection, a foundational understanding of Machine Learning concepts (such as anomaly detection, probability scoring, or drift monitoring) is a massive plus as we look to augment our systems with predictive models in the future.<br><br></div>