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About this role We are seeking an associate Data Modeler/Engineer to cover the data domain supporting our global multi-factor Portfolio Risk models across fixed income and equity. This role is responsible for ensuring that data powering our risk models is accurate, well-governed, fit-for-purpose, and operationally smooth for modeling teams. The focus is on data quality, validation, usability, and alignment with modeling requirements - not on owning infrastructure or engineering platforms. The initial emphasis will be on model input data onboarding and quality control, with scope expanding to derived model data, model QC outputs, and research/new data exploration over time. This is a strategic but hands-on role. The individual must be willing to dive into detailed data issues, prototype validation logic when needed, and drive execution across modeling, engineering, and upstream data teams. Domain & Data Scope The portfolio risk models supported by this role span global...