About The Position

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. As a Quantitative Analyst in Financial Services Risk Management, you will apply mathematical, statistical, and other quantitative techniques to help solve our clients' complex business issues. You will develop quantitative products used to assist clients in developing and validating credit risk modeling methodologies and performing the practical application of advanced analytics techniques. Your role will involve applying mathematical and statistical techniques to understand how quantitative risk governance interacts with risk and control assessment processes, modeling, regulatory readiness, and risk reporting. You will consistently deliver quality client services by monitoring progress, demonstrating in-depth technical capabilities and professional knowledge, maintaining long-term client relationships and networks, and cultivating business development opportunities.

Requirements

  • 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, or technical analytics, 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 two of the following: broad credit risk modeling and related analytics, retail modeling for mortgage, credit card, or consumer loans, wholesale credit modeling for C&I, CRE or related exposures, credit loss forecasting for US GAAP, CECL or IFRS 9, model development, model validation, advanced analytics, quantitative analysis supporting consumer regulatory compliance.
  • 2 years of consulting (advisory services) work experience.
  • 1 year of experience in SAS or STATA, R, Python, or Matlab.

Responsibilities

  • Apply mathematical, statistical, and other quantitative techniques to solve complex business issues.
  • Develop quantitative products for credit risk modeling methodologies.
  • Perform practical application of advanced analytics techniques.
  • Understand interactions between quantitative risk governance and risk/control assessment processes.
  • Deliver quality client services by monitoring progress.
  • Maintain long-term client relationships and networks.
  • Cultivate business development opportunities.

Benefits

  • Comprehensive compensation and benefits package.
  • Base salary of $191,922.00 per year.
  • Medical and dental coverage.
  • Pension and 401(k) plans.
  • Wide range of paid time off options.
  • Flexible vacation policy.
  • Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.

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What This Job Offers

Job Type

Full-time

Career Level

Manager

Industry

Professional, Scientific, and Technical Services

Education Level

Bachelor's degree

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