Data Modeler for Financial Institutions

6 days ago


Pasig, National Capital Region, Philippines UnionBank of the Philippines Full time
Role Overview

This Senior Banking Data Analyst position focuses on developing and implementing comprehensive data models and systems for the financial sector. The ideal candidate will have a solid understanding of financial databases, data modeling, and ETL processes specific to banking.

Responsibilities include:

  1. Banking-Specific Data Modeling and Management
  • Develop and maintain data models tailored to various banking domains (e.g., retail, transaction, investment banking, and risk management).
  • Design high-performance data solutions capable of handling large volumes of financial transactions and customer data.
  • Ensure alignment with relevant financial regulations (e.g., Basel, GDPR, PCI-DSS) and industry standards.
Data Governance and Compliance
  • Implement and uphold data governance frameworks rooted in DAMA-DMBOK v2 principles.
  • Oversee data accuracy, integrity, and adherence to financial industry standards and regulations.
  • Formulate and enforce policies for data privacy, security, and ethical data usage.
  • Establish and guide metadata management strategies consistent with the bank's overall data strategy.
Leadership in Financial Data Management (Applicable for Lead Level Only)
  • Direct and mentor teams of data modelers and data mappers specialized in financial systems.
  • Champion the adoption of data warehousing, advanced analytics, and Business Intelligence (BI) solutions, including AI and Generative AI.
  • Foster a data-driven culture by advocating for insights-based decision-making at all organizational levels.
Technology Integration and Innovation
  • Work closely with IT Solutions Architecture and Enterprise Architecture teams to ensure alignment of data strategies with broader organizational goals.
  • Take ownership of technology selection for data platforms and collaborate with technology teams to implement these solutions.
  • Continually evaluate and integrate emerging technologies (AI, ML, Generative AI) into the data models, ensuring performance and compliance.
  • Oversee cloud migration and evaluate cloud-based data management solutions (e.g., AWS, Azure, Snowflake, Databricks), ensuring they meet security and regulatory mandates.
  • Lead the design of AI, ML, data science, and generative AI solutions to elevate the bank's analytical and predictive capabilities.
  • Stay current with new and upcoming trends in data practices, proactively recommending improvements and innovations.
Project Management and Collaboration
  • Collaborate with IT, Risk Management, Finance, and other departments to align data modeling strategies with overarching business objectives.
  • Lead and execute data modeling projects within budget and time constraints, adhering to industry and internal standards.
  • Serve as the primary liaison to external stakeholders, including regulatory bodies and technology partners.

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