Lead Data Modeler (Finance/Risk)

About Security Bank We are the Philippines' largest independent bank, receiving numerous awards over the years, including Philippines' Top Employer, recognized by Statista, and Best Bank for Diversity and Inclusion, presented by Asiamoney. We’re revolutionizing the way people bank. From the instant customers step into our branches to their digital encounters with us, we endeavor to make them feel valued and empowered. With over 300 branches nationwide, BetterBanking has set a new standard in improving the banking experiences of millions of Filipinos. But we have yet to reach our goals. In our relentless pursuit of excellence and development, we create supportive teams for our business and each other. The Role As a Lead Data Modeler for Finance/Risk, you will be driving the design of the enterprise data model for Finance and Regulatory Reporting. You will be part of a strategic project for the bank while collaborating with ITG and vendor partners to deliver a comprehensive Finance Regulatory Reporting solution. Furthermore, you will be responsible for the entire lifecycle and upkeep of the data model once the project concludes. How you'll contribute - Interface with major business and IT stakeholders, utilizing your technical expertise across various stages of the Software Development Life Cycle, including Requirements Elicitation, Application Architecture definition, and Design. - Play a crucial role in creating and managing the high-level data model design artifacts. - Implement data strategies and develop physical data models. - Evaluate implemented data systems for inconsistencies, discrepancies, and efficiency. - Troubleshoot and enhance data systems. - Conduct and oversee sessions with crucial internal business segment stakeholders, prioritizing technology, analytics, and business intelligence capabilities. - Deliver high standard code deliverables for a module, lead validation for all kinds of testing, and support activities related to implementation, transition, and warranty. - Cooperate with teams to confirm roadmap and technical alignment architecture. - Communicate with the data governance team to ensure data is trustworthy and accurate. What we're looking for - Bachelor's degree in a quantitative field (e.g. Economics, Statistics, Sciences, Engineering, Computer Science) - Minimum of 10 years of relevant professional experience - At least 8 years of experience within data engineering and modeling; creating Logical and Physical models and understanding source financial systems. - Experience in Relational Modeling, Dimensional Modeling, and Modeling of Unstructured Data using Erwin Data Modeler or similar modeling tools. - At least 3 years of business experience in the Financial Services sector - Previous involvement with migration projects from on-premise to cloud would be advantageous - Ability to work productively in a diverse team with multiple stakeholders - Exceptional verbal and written communication skills - Prior experience and desire to work in a global delivery environment.