PI Quantitative Risk Engineer
- Calgary, AB, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English
- Posted
Original job description
At TC Energy, we are proud to connect the world to the energy it needs. Guided by our values of safety in every step, personal accountability, one team and active learning, we deliver the critical energy that North America and the world rely on while balancing reliability, affordability and sustainability.
Join us. Connect to what matters.
The Opportunity
Our Pipeline Integrity department is currently seeking a Quantitative Risk engineer to join our Risk & Technical Governance team, based in Calgary, AB.
This position is responsible for supporting TCE’s quantitative risk assessment (QRA) process on over 90,000 km of natural gas pipelines across Canada, USA and Mexico. It will provide the opportunity to expand knowledge of pipeline QRA and support risk-based integrity maintenance decisions to help ensure safe and reliable pipeline operations.
What you will do
- Complete annual quantitative risk assessments on over 90,000 km of natural gas pipelines across Canada, USA and Mexico
- Risk assessment lead for 3rd Party Damage and Weather & Outside Forces (Geohazards)
- Perform rigorous validation of risk estimates using proven statistical and data analytic methods
- Maintain and update threat algorithms in Python on a cloud-based platform
- Continually work to improve the accuracy and granularity of risk estimates
- Leverage quantitative risk estimates to support optimized risk-informed decisions
- Perform qualitative and quantitative demonstration of ALARP risks
- Write required reports and help maintain risk management standards and procedures
- Participate in industry research projects, standards committees, and other external activities
- Collaborate with various Pipeline integrity teams to support risk-informed decisions
Minimum Qualifications
- Post-Secondary Degree in Engineering
- Registered, or eligible to register, with APEGA as a Professional Engineer (P.Eng.) in good standing
- Five (5) years of progressive experience (including graduate studies)
- Experience in quantitative risk assessment, probabilistic analysis, and data analytics
- Competent programming in Python or comparable programming language
- Knowledge of pipeline integrity threat management practices
- Strong oral and written business communication skills
Preferred Qualifications
- Master’s or PhD. in a related field
- Experience in Machine Learning and other advanced analysis methodologies
- Knowledge of Canadian and US pipeline regulations (such as CSA Z662, 49 CFR 192, etc.)
- Demonstrated project management skills, including agile project management
To remain competitive, support our high-performance culture and allow for more flexibility in the way we work, we offer a hybrid work model and flexible dress code for our eligible office-based workforce in Canada, the U.S. and Mexico.
About our business
We are a leader in North American energy infrastructure, spanning Canada, the U.S. and Mexico. For over 75 years, we have proudly connected the world to the energy it needs. Every day, we move more than 30 per cent of the natural gas used across the continent and connect LNG exports to global markets, powering communities and industries. Complemented by strategic ownership and low-risk investments in power generation, our infrastructure delivers affordable, reliable and sustainable energy across North America. Our field operations span seven Canadian provinces, 34 U.S. states and seven Mexican states. Together, we strengthen the connections that deliver the energy the world relies on-every day.
TC Energy is an equal opportunity employer and participates in the E-Verify program supervised by the US government. We welcome applications from all qualified individuals regardless of race, religion, age, sex, color, national origin, sexual orientation, gender identity, veteran status, or disability. We are also committed to providing accommodations throughout the recruitment process. Applicants requiring accommodations or accessible formats are encouraged to contact us at careers@tcenergy.com for support.
All applicants must have legal authorization to work in the country where the position is based, without restrictions. Background screening is required for all positions, which may include criminal and/or credit checks. Offers may be extended at a different level or job title that best aligns with the successful candidate's qualifications.
Learn more
Visit us at TCEnergy.com and connect with us on our social media channels for our latest news, employee stories, community activities, and other updates.
Thank you for considering TC Energy in your career journey.
More about this job
Responsibilities
Conduct quantitative risk assessments for natural gas pipelines, lead assessments of third-party damage and weather and outside-force threats, and validate risk estimates using statistical and data analytics methods. Maintain Python-based threat algorithms, improve risk estimates, support risk-informed integrity decisions, prepare reports and standards, and collaborate with internal teams and industry groups.
Requirements
Requires an engineering degree, eligibility for professional registration with APEGA, at least five years of progressive experience, and experience in quantitative risk assessment, probabilistic analysis, data analytics, and programming in Python or a comparable language. Candidates should understand pipeline integrity threat management and have strong communication skills; a related graduate degree, machine learning experience, regulatory knowledge, and project management skills are preferred.
Skills
- Quantitative Risk Assessment
- Probabilistic Analysis
- Data Analytics
- Python Programming
- Statistical Validation
- Pipeline Integrity
- Threat Management
- Machine Learning
- Geohazard Risk Assessment
- Third-Party Damage Risk Assessment
- ALARP Demonstration
- Risk-Informed Decision-Making
- Project Management
- Agile Project Management
- Business Communication
Visa sponsorship
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Categories
- Engineering
- Energy
- Data & Analytics
- Science & Research
- Technology
Keywords
- Quantitative Risk Assessment
- Pipeline Integrity
- Natural Gas Pipelines
- Probabilistic Analysis
- Data Analytics
- Python
- Threat Algorithms
- Cloud-Based Platform
- Statistical Methods
- Third-Party Damage
- Weather and Outside Forces
- Geohazards
- ALARP
- Risk-Informed Decisions
- Integrity Maintenance
- Machine Learning
- Advanced Analysis Methodologies
- CSA Z662
- 49 CFR 192
- Pipeline Regulations
- Agile Project Management
- Risk Management Standards
- Professional Engineer
- Industry Research
- Technical Governance