Senior Quantitative Analyst: Energy Grid Modeling

Delmarva Power & Light Co.; Northern (KY); Hybrid; USD 95,000 - 131,000; Full time

Benefits offered by this job

Annual bonus

401(k) match

Health insurance

Paid time off

Tuition reimbursement

Employee assistance

Job summary

Exelon is seeking a Sr Quantitative Analyst to design and develop proprietary simulation models for portfolio valuation, pricing, risk management, and strategic planning within our Advanced Analytics team. You will work with economists, financial engineers, risk analysts and policy experts to apply quantitative techniques and assess model risks.

The role emphasizes leadership, collaboration, and robust programming skills in a dynamic energy market environment.

Qualifications

• Bachelor's degree in a quantitative field is required.
• 4–7 years of relevant experience in analytics or finance.
• Strong foundation in applied and financial mathematics and statistics.
• Ability to use multiple programming languages and DB query languages.
• Ability to grasp energy commodity markets and valuation concepts.
• Self-driven with collaboration across teams.

Responsibilities

• Develop valuation, risk, and pricing models using predictive analytics.
• Research and prototype new quantitative modeling approaches.
• Translate concepts into robust, scalable system designs.
• Provide leadership and mentorship to junior analysts.
• Collaborate with IT to build data structures and BI reporting.
• Work with analytics teams across ComEd and the Enterprise.

Skills

Quantitative skills

C/C++

Python

Matlab

Financial math

Education

Bachelor's in quantitative field

Tools

PLEXOS

S&P CapIQ

Wood Mackenzie

Job description

Exelon is seeking a Sr Quantitative Analyst to design and develop proprietary simulation models for portfolio valuation, pricing, risk management, and strategic planning within our Advanced Analytics team. You will work with economists, financial engineers, risk analysts and policy experts to apply quantitative techniques and assess model risks.

The role emphasizes leadership, collaboration, and robust programming skills in a dynamic energy market environment.