Associate Director - Analytic Risk Officer

S&P Global

Not specified; not specified; competitive pyy with...
Not specified (assumed hybrid based on industry standards).
Machine learning and llm experience
Python r sql proficiency
Electronic quality monitoring systems
S&P Global is seeking an Associate Director - Analytic Risk Officer to enhance the quality of analytic products in the Energy and Sustainability sectors. The role involves risk assessment, quality monitoring, and collaboration with cross-functional teams, requiring expertise in data analytics and modern AI technologies

Job Summary

  • The role involves independently validating analytic products and methodologies to ensure robustness and compliance with evolving regulatory landscapes.
  • Candidates must leverage cutting-edge AI technologies including Machine Learning and Large Language Models to drive quality improvements in energy and sustainability data.
  • The position offers the opportunity to collaborate with global teams to enhance analytical quality while contributing to S&P Global's mission of advancing essential intelligence.

Matching Summary

Match Score: 85

S&P Global is seeking an Associate Director - Analytic Risk Officer to enhance the quality of analytic products in the Energy and Sustainability sectors. The role involves risk assessment, quality monitoring, and collaboration with cross-functional teams, requiring expertise in data analytics and modern AI technologies.

Salary

Not specified; Not specified; Competitive pay with retirement planning and education programs

Skills & Requirements

Must-have

  • Machine Learning and LLM experience
  • Python R SQL proficiency
  • Electronic quality monitoring systems
  • Data visualization tools Power BI Tableau
  • Databricks data engineering workflows
  • Financial markets analytics expertise
  • Methodology model defensibility evaluation

Nice-to-have

  • ESG and Energy data product knowledge
  • Structured finance data structures
  • LEAN methodology implementation
  • Cross-functional stakeholder management
  • Innovation culture promotion
  • Root cause analysis technical problem solving

Key Requirements

  • Bachelor's or advanced degree in relevant field
  • 5+ years experience in financial markets or analytics
  • Hands-on experience with Python R SQL and Databricks
  • Proven track record in implementing LEAN methodologies
  • Strong communication skills for complex technical concepts

Work Rights

Not specified

Tailored Resume

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