Energy Quantitative Analyst: Valuation, Risk & Modeling

Transmission & Distribution World; Illinois; On-site; USD 75,000 - 103,000; Full time

Benefits offered by this job

Medical insurance

401(k) match

Paid time off

Bonus program

Job summary

Exelon is hiring 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. You will work with economists, financial engineers, risk analysts, and policy experts to apply quantitative techniques and ensure robust model performance.

The role emphasizes mathematical rigor, programming expertise, and data analysis to support decision-making for innovative utility initiatives.

Qualifications

• Bachelor's degree in a quantitative field and 2–4 years of experience.
• Strong foundation in applied and financial mathematics and statistics.
• Proficiency with development languages (C/C++, Python, Matlab, etc.).
• Familiarity with energy markets, portfolio valuation, and system dynamics.

Responsibilities

• Develop valuation, pricing, risk management, and modeling solutions.
• Build proof-of-concept systems to test new quantitative approaches.
• Translate concepts into robust, scalable system designs and architectures.
• Collaborate with economists, risk analysts, and policy experts across units.
• Engage stakeholder analytics teams to collect feedback and improve models.

Skills

C/C++

Python

Matlab

Statistics

Data analysis

Power BI

SQL

Excel

AI tools

Education

Bachelor's degree in quantitative field

Tools

Power BI

SQL

Excel

Power Automate

VBA

Job description

Exelon is hiring 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. You will work with economists, financial engineers, risk analysts, and policy experts to apply quantitative techniques and ensure robust model performance.

The role emphasizes mathematical rigor, programming expertise, and data analysis to support decision-making for innovative utility initiatives.