Machine Learning Engineer

About the role

S&P Global's Enterprise Solutions Technology team is seeking a Data Science leader to own the AI/ML roadmap and lead the design, development, and production operation of high-rigor analytical and machine learning systems across a complex, regulated financial-services estate — spanning lending, corporate actions, tax, regulatory reporting, and public and private markets.

Responsibilities

• Define the AI/ML strategy and own the full model lifecycle: problem definition, feature engineering, back-testing, deployment, monitoring, drift detection, and retraining
• Build production-grade models for anomaly detection, variance analysis, forecasting, and market and behavioral signals — comparable in rigor to fraud, risk, or surveillance systems
• Work closely with engineering, data platform, and product teams; step in on complex or high-risk analytical problems and when models degrade in production
• Design explainable models suitable for regulated environments, combining statistical models, ML, semantic models, and rules-based logic as appropriate

Qualifications

• 20+ years of experience with analytics, data science, or ML systems in production, with significant experience in financial services or similarly regulated domains