Energy Quantitative Analyst: Modeling, Risk & Valuation

Exelon

Villa Park (IL)

On-site

USD 75,000 - 103,000

Full time

2 days ago
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Benefits offered by this job

Annual salary range: $75,200–$103,400/
Annual Bonus: 10%
401(k) match
Medical, dental and vision insurance
Life and disability insurance
Generous paid time off
Tuition reimbursement

Job summary

Exelon is seeking a Quantitative Analyst for the Utility of the Future to design and develop proprietary simulation models for portfolio valuation, pricing, risk management, and strategic planning. The role collaborates with economists, financial engineers, risk analysts, and policy experts to apply quantitative techniques and assess model risks.

The position requires strong programming, statistics, and data analysis skills, with experience in SQL and Python and knowledge of energy commodity

Qualifications

  • Bachelor's degree in quantitative field required.
  • 2 to 4 years of relevant experience.
  • Strong understanding of applied and financial mathematics concepts.
  • Ability to use languages such as C/C++, Python, Matlab, and SQL.
  • Familiarity with energy commodity markets and portfolio valuation.

Responsibilities

  • Develop valuation, risk management, and pricing models using predictive analytics and simulation.
  • Conduct research and build proof-of-concept systems to test new quantitative approaches.
  • Translate business and quantitative concepts into robust system design and architecture.
  • Collaborate with stakeholder analytics teams across ComEd and the Enterprise to gather feedback.

Job description

Exelon is seeking a Quantitative Analyst for the Utility of the Future to design and develop proprietary simulation models for portfolio valuation, pricing, risk management, and strategic planning. The role collaborates with economists, financial engineers, risk analysts, and policy experts to apply quantitative techniques and assess model risks.

The position requires strong programming, statistics, and data analysis skills, with experience in SQL and Python and knowledge of energy commodity

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