Vice President, Data Management & Quantitative Analysis

We are seeking a Vice President – Risk Analytics and Reporting to join our Market and Counterparty Credit Risk Data Analytics team. This role is an exciting opportunity for a talented professional who is passionate about data, risk, and process improvement, and who wants to help shape and strengthen the market data control environment. In this role, you’ll make an impact in the following ways: Play a key role in strategic initiatives to strengthen the market data control environment, including rebuilding the data quality management framework, advancing control automation, and enhancing data outliers monitoring and reporting. Serve as the Subject Matter Expert for market data exploration, sourcing and implementation. Provide subject-matter leadership for regulatory reporting, ensuring that exposure metrics, regulatory thresholds, management notifications, and information-barrier requirements are applied consistently and supported by appropriate controls. Lead the end-to-end remediation of data quality issues, coordinating investigation, prioritization, and resolution across stakeholders. Partner closely with Risk Managers, Technology, Operations, and Modelling teams to identify process improvement opportunities and translate business needs into clear, actionable requirements. Contribute to the continuous enhancement of risk analytics and reporting capabilities by promoting robust controls, scalable processes, and data-driven decision-making. To be successful in this role, we’re seeking the following: 3-5 years’ experience in financial risk, specifically market risk, financial instruments, or risk models roles. We also consider 2-3 years of data analytics experience or recent graduates with a strong willingness to learn quickly. Strong SQL skills for data extraction, analysis, and investigation, with working knowledge of Python for data analysis and process support. Familiarity with risk and market data platforms such as Murex, ORE Acadia, and Bloomberg Terminal. A structured and detail-oriented approach to data validation, issue analysis, and documentation. Demonstrate ability to analyze complex datasets, investigate reporting anomalies, and communicate technical findings effectively to both technical teams and senior business stakeholders. Strong communication and stakeholder management skills, with the ability to work independently and collaborate effectively across teams and time zones.