Not specified; not specified; competitive pyy + re...
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Master degree in quantitative subject
2-5 years credit risk modeling experience
Python r or matlab programming skills
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S&P Global Market Intelligence is seeking a Senior Quantitative Analyst to join their Quantitative Risk Modeling Group, where the candidate will develop and enhance credit risk models using advanced machine-learning techniques. The ideal candidate should have a Master's degree in a quantitative field, 2-5 years of relevant experience, and strong programming skills.
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Job Summary
The role involves building the next generation of credit risk models to support strategic initiatives at S&P Global Market Intelligence.
Candidates will interact within a matrixed organization including Product Managers, Business Developers, and Information Technologists.
The company offers comprehensive benefits including health care, generous time off, and a continuing education program with student loan contributions.
Matching Summary
Match Score: 75
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S&P Global Market Intelligence is seeking a Senior Quantitative Analyst to join their Quantitative Risk Modeling Group, where the candidate will develop and enhance credit risk models using advanced machine-learning techniques. The ideal candidate should have a Master's degree in a quantitative field, 2-5 years of relevant experience, and strong programming skills.
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Salary
Not specified; Not specified; Competitive pay and retirement planning mentioned
Skills & Requirements
Must-have
Master degree in quantitative subject
2-5 years credit risk modeling experience
Python R or Matlab programming skills
Stochastic calculus and probability theory knowledge
Experience with big structured and unstructured datasets
Nice-to-have
Strong technical writing and white paper creation
Ability to communicate with diverse audiences
Proactive team player with flexible mindset
Interest in sustainability and energy transition analysis