Risk Model Engineer

Owning the transmission risk models within an AI-driven platform, the full-time Risk Model Engineer will migrate existing probabilistic models, extend threat coverage, and develop new analytical capabilities while working remotely from the US or Canada. Key Responsibilities Migrate existing probabilistic model code to the risk management platform and validate results against the current implementation Extend threat coverage across domains, including corrosion, cracking, and third-party damage, while designing time-series and anomaly detection models Collaborate with ML Ops and data engineering teams to ensure effective deployment and monitoring of models Required Qualifications Experience building or validating quantitative risk, reliability, or failure models for physical infrastructure, preferably pipelines Familiarity with pipeline integrity standards and regulations such as ASME B31.8S and 49 CFR 192 Experience with Monte Carlo simulation, structural reliability, and uncertainty quantification Proficiency in applying machine learning to physical asset data, including time-series and anomaly detection models Strong software engineering practices, including testing and reproducibility