Vice President, Market Risk Data Analytics

The Company is seeking a Vice President of Market Risk Data Analytics to lead the design and implementation of enterprise data models and architecture for strategic and regulatory risk initiatives. Responsibilities include translating business requirements into scalable data structures, developing data pipelines and integration processes, and establishing metadata management and data quality controls. The role will also drive data governance, including lineage, authoritative source management, and adherence to data standards. The successful candidate will provide technical leadership across delivery, testing, performance analysis, and issue resolution, while mentoring team members and partnering with business and technology stakeholders. Candidates should have at least five years of experience in data modeling, architecture, engineering, or related data management within financial services. Strong expertise with enterprise modeling tools and the creation of logical and physical models, data dictionaries, and metadata frameworks is required. Applicants should have deep knowledge of relational and distributed database technologies, hands-on experience building data pipelines and ingestion frameworks, and proficiency in SQL. Experience with Python, shell scripting, Kafka, Spark, or similar technologies is valuable; exposure to market risk, counterparty credit risk, regulatory reporting, or related risk initiatives is preferred.