Not specified; not specified; competitive pyy + be...
Not specified
Master degree in quantitative subject
2 to 5 years relevant work experience
Python r matlab programming skills
S&P Global Market Intelligence is seeking a Senior Quantitative Analyst for its Quantitative Risk Modeling Group. The role involves developing advanced statistical models for credit risk assessment, requiring a strong quantitative background and programming skills
Job Summary
The role involves developing advanced machine-learning techniques to automate and scale credit risk assessments for financial institutions.
Candidates will interact within a matrixed organization including Product Managers and Business Developers to support strategic initiatives.
S&P Global Market Intelligence offers competitive pay, retirement planning, and continuous learning resources to help employees thrive.
Matching Summary
Match Score: 85
S&P Global Market Intelligence is seeking a Senior Quantitative Analyst for its Quantitative Risk Modeling Group. The role involves developing advanced statistical models for credit risk assessment, requiring a strong quantitative background and programming skills.
Salary
Not specified; Not specified; Competitive pay and benefits included
Skills & Requirements
Must-have
Master degree in quantitative subject
2 to 5 years relevant work experience
Python R Matlab programming skills
Handling big structured unstructured datasets
Stochastic calculus and probability theory knowledge
Credit risk modeling expertise
Nice-to-have
Strong technical writing skills
Ability to manage multiple projects
Proactive team player mindset
Experience with yield curve building
Bond pricing models background
Key Requirements
Master degree or higher from reputable university
2 to 5 years relevant work experience
Excellent programming skills in Python R or Matlab
Solid knowledge of stochastic calculus and probability theory