Portfolio Risk Modeler Data Lead, Vice President I
Core
VP-level Data Lead driving data domain for global multi-factor Portfolio Risk models across fixed income and equity, ensuring data quality, validation, and usability.
Role type
Senior IC data lead (VP level)
Builds
Robust, well-governed data pipelines and QC frameworks for portfolio risk modeling
Domain
Fixed income and equity financial markets, quantitative risk modeling
Deliverable
production ML models
Required skills
Data lifecycle management, QC framework design, portfolio risk modeling data requirements, Python/SQL prototyping, stakeholder management
Preferred skills
Experience with global fixed income/equity datasets, cross-functional leadership, AI/ML adoption
Technologies
Python, SQL
Responsibilities
Own data domain for portfolio risk models ensuring high standards of quality and usability; Design and implement data validation rules and QC logic; Partner with modeling teams to translate requirements into data solutions; Lead onboarding and evaluation of new datasets for modeling and research; Drive resolution of data issues across teams with strong ownership; Provide structured updates on data quality, risks, and initiatives
Seniority
VP, strategic execution & hands-on leadership