Full span of experience must include: Quantitative model development, model validation, and financial model assessment; Developing and using analytical tools to support model validation and financial analysis; Python or R for data analysis, model validation, and work efficiency improvements; Understanding of fixed income instruments and credit-related products including valuation concepts and risk characteristics; Applying statistical and numerical techniques for model validation or financial analysis; Documenting analytical processes, model validation results, and data assessments; and Preparing validation reports and interacting with key stakeholders. Requirements: Requires a Master's degree, or foreign equivalent, in Mathematical Finance, Financial Engineering, Applied Mathematics, Statistics, Computational Finance, Physics or related quantitative field and 3 years of experience as a Capital Markets Researcher, Model/Analysis/Validation Officer, Quantitative Analyst, Credit Risk Modeler or Researcher, Financial Engineer, Quantitative Developer, Derivatives Trader, Data Scientist, PhD Researcher, or related position involving model validation, quantitative analysis and model development.