Not specified; not specified; generous time off + ...
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8+ years in power natural gas crude oil risk
Python sql power bi coding experience
Var model accuracy and p&l decomposition
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Enbridge is seeking a Manager for Quantitative Commodity Market Risk to oversee risk reporting and analysis in North American commodity markets, including power, natural gas, and crude oil. The role requires extensive experience in risk management, advanced coding skills, and the ability to lead a team while fostering collaboration across departments. The position offers competitive benefits, including flexible work options and a focus on employee well-being.
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Job Summary
The role is accountable for daily risk reporting including Mark-to-Market analysis and Value-at-Risk metrics for North American commodity markets.
Candidates will lead the integrity of VaR models, manage vendor relationships, and drive process automation using Python and Power BI.
Enbridge offers a competitive benefits package including a pension plan, flexible hybrid work options, and generous paid time off.
Matching Summary
Match Score: 75
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Enbridge is seeking a Manager for Quantitative Commodity Market Risk to oversee risk reporting and analysis in North American commodity markets, including power, natural gas, and crude oil. The role requires extensive experience in risk management, advanced coding skills, and the ability to lead a team while fostering collaboration across departments. The position offers competitive benefits, including flexible work options and a focus on employee well-being.
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Salary
Not specified; Not specified; Generous time off and pension package included
Skills & Requirements
Must-have
8+ years in power natural gas crude oil risk
Python SQL Power BI coding experience
VaR model accuracy and P&L decomposition
North American commodity market knowledge
ETRM systems like Openlink or Endur
Nice-to-have
CFA MBA CA or FRM designation preferred
Experience with PJM MISO NYISO ISO-NE
Strong cross-functional partnership skills
Power LMP congestion settlement analysis
Spark spread heat rate product expertise
Key Requirements
Bachelor's degree in economics finance or applied sciences
8+ years in-depth experience in commodity risk management
Advanced coding proficiency in Python and SQL
Experience with ETRM systems such as Openlink or Endur