Risk Model Engineer

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 modelsRequired QualificationsExperience 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