Data Modeler for Financial Institutions
6 days ago
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:
- 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.
- 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.
- 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.
- 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.
- 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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