Base: 100,000 cad to 120,000 cad; bonus/equity: no...
Onsite
Stochastic modeling expertise
Monte carlo simulation methods
Python programming with scientific libraries
The role involves leading the design and validation of stochastic, physics-based models to solve complex real-world problems in the energy sector
Job Summary
The role involves leading the design and validation of stochastic, physics-based models to solve complex real-world problems in the energy sector.
Candidates must translate ambiguous business challenges into structured analytical frameworks and deliver production-ready tools using modern machine learning.
S&P Global offers comprehensive benefits including health coverage, flexible downtime, continuous learning resources, and family-friendly perks.
Matching Summary
The role involves leading the design and validation of stochastic, physics-based models to solve complex real-world problems in the energy sector.
Salary
Base: 100,000 CAD to 120,000 CAD; Bonus/Equity: Not specified; Benefits: Health care, retirement planning, education contribution
Skills & Requirements
Must-have
Stochastic modeling expertise
Monte Carlo simulation methods
Python programming with scientific libraries
Cloud platform deployment (AWS/GCP/Azure)
Uncertainty quantification techniques
Nice-to-have
Generative AI application experience
Quantum computing knowledge
Strong domain knowledge in energy markets
Peer-reviewed research publications
Mentorship of junior team members
Key Requirements
Advanced degree (MSc or PhD) in quantitative discipline
Indefinite right to work within Canada
Experience with scalable production-oriented solutions