The Quantitative Analyst position at EY involves applying mathematical and statistical techniques to address complex business issues in financial services. Candidates will develop quantitative products for credit risk modeling and engage in advanced analytics to support risk governance and regulatory compliance.

• Bachelor’s degree in economics, statistics, computational finance, mathematics, engineering, data science, physics, or a related field and 5 years of post-baccalaureate progressive quantitative analysis work experience.
• Alternatively, a Master’s degree in the same fields and 4 years of quantitative analysis work experience.
• Alternatively, a Ph.D. in the same fields and 2 years of quantitative analysis work experience.
• 2 years of experience with statistical and numerical techniques, including regression analysis or machine learning.
• 2 years of experience communicating and interpreting technical concepts for technical and non-technical users.
• 2 years of experience in broad credit risk modeling and related analytics, retail modeling, wholesale credit modeling, credit loss forecasting, model development, model validation, advanced analytics, or quantitative analysis supporting consumer regulatory compliance.
• 2 years of consulting work experience.
• 1 year of experience in SAS, STATA, R, Python, or Matlab.

• Apply mathematical, statistical, and other quantitative techniques to solve clients’ complex business issues.
• Develop quantitative products for credit risk modeling methodologies.
• Understand how quantitative risk governance interacts with risk and control assessment processes.
• Deliver quality client services by monitoring progress.
• Maintain long-term client relationships and networks.
• Cultivate business development opportunities.

• Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.