Base: $177,036 to $266,000; bonus/equity: eligible...
Applied data science and ml engineering
Production-grade models
Explainable, reliable in production
The role exists to ensure AI/ML strategy is sound and that analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny
Job Summary
The role exists to ensure AI/ML strategy is sound and that analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny.
You will work closely with engineering, data platform, and product teams to take models from problem definition through to production operation, including feature engineering, back-testing, deployment, monitoring, and ongoing performance management.
Our benefits include Health & Wellness, Flexible Downtime, Continuous Learning, Invest in Your Future, and Family Friendly Perks.
Matching Summary
The role exists to ensure AI/ML strategy is sound and that analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny.
Salary
Base: $177,036 to $266,000; Bonus/Equity: eligible for an annual incentive plan; Benefits: eligible to receive additional S&P Global benefits
Skills & Requirements
Must-have
applied data science and ML engineering
production-grade models
explainable, reliable in production
full model lifecycle ownership
production ML system design
operating models in production over time
explainable models for regulated environments
Nice-to-have
strategy-led and hands-on role
pragmatic and outcome-driven
technical mentor to other data scientists
Key Requirements
17+ years working with analytics, data science, or ML systems
Significant experience in financial services
Comfortable working directly with data, models, and code