Risk Reporting Data Strategy are responsible for requirements gathering, and supporting the design, and optimization of data structures that support the firm’s risk management objectives. This role partners closely with Risk Management, Product, Technology, Chief Data Office and Risk Reporting stakeholders to validate that risk data is accurately captured, transformed, and presented in a manner that enables effective risk analysis, regulatory compliance, and strategic decision-making.
As a Vice President within Risk Reporting Data Strategy team you will be involved in integrating target-state data models with future-state reporting tools, and validating their compatibility and efficiency in collaboration with Technology-aligned Information Architects and Risk Reporting end-users.
Job Responsibilities
- Collaborate with Risk Reporting teams to understand reporting requirements, identify atomic data elements, transformations and aggregations and translate into requirements.
- Partner with Technology Information Architect to review and maintain robust data models for risk reporting, maintaining scalability, accuracy, consistency, and alignment with Risk Reporting and Data Strategy requirements.
- Support the integration of risk data from multiple sources to a cloud based architecture with AI capabilities, to enable accessibility for reporting and analytics.
- Review data quality controls, validation processes, and governance frameworks, adapting to revised data sourcing patterns to maintain the integrity, accuracy, and security of risk data.
- Support functional reporting teams as they develop reporting on target state platforms, including dashboards and visualizations.
- Partner with Technology Architects, Data Engineers, and Reporting Analysts to align and optimize data structures / outputs with enterprise standards and best practices, including testing data models against reporting toolsets to validate compatibility and performance.
- Continue to enhance the BCBS 239 (Risk Data Aggregation and Reporting) framework to maintain compliance with regulatory expectations.
Required qualifications, capabilities, and skills
- Experience in data requirements gathering.
- Experience in SQL and Python.
- Experience with Business Intelligence tools such as Databricks.
- Excellent analytical, problem-solving, and communication skills.
- Experience with data governance, data quality frameworks.
- Ability to work collaboratively across business and technology teams.