Quantitative Analyst - Oakbrook Terrace, IL

Job Description

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Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post.

Job Description
Who We Are

We're powering a cleaner, brighter future.

Exelon is leading the energy transformation, and we're calling all problem solvers, innovators, community builders and change makers. Work with us to deliver solutions that make our diverse cities and communities stronger, healthier and more resilient.

We're powered by purpose-driven people like you who believe in being inclusive and creative, and value safety, innovation, integrity and community service. We are a Fortune 200 company, 20,000 colleagues strong serving more than 10.7 million customers at six energy companies -- Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).

We're committed to creating an environment where every person can thrive. Our employee experience is grounded in four tenets that guide how we support our people: purposeful careers, growth opportunities, community impact, and support to thrive.

In our relentless pursuit of excellence, we elevate diverse voices, fresh perspectives and bold thinking. And since we know transforming the future of energy is hard work, we provide competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career.

Are you in?
Primary Purpose

The Quantitative Analyst for the Utility of the Future will design and develop proprietary simulation models to support portfolio valuation, pricing, risk management, and overall strategic planning for innovative utility platform initiatives. As a member of the Advanced Analytics team, the successful candidate will collaborate directly with economists, financial engineers, risk analysts, and policy experts. He or she will apply quantitative techniques to measure and analyze model risks and form opinions on the strengths and limitations of the respective models. A solid understanding of traditional financial valuation and modeling techniques along with a strong foundation in programing, statistical methods, and data analysis is essential.

Primary Duties

Leverage in-depth technical knowledge of predictive analytics, statistics, modelling techniques and simulation approaches to develop valuation, risk management, and pricing models. (50%)
Conduct research and produce proof-of-concept demonstration systems to test new quantitative modeling approaches and solutions to complex problems (25%)
Translate quantitative and business concepts into efficient, robust, supportable system design and architecture. (15%)
Partner with stakeholder analytics teams across ComEd and the Enterprise to expand the use and gather feedback on the models and systems (10%)

Job Scope

Reports to the Director Advanced Analysis
This is an individual contributor position that woks under general supervision, relying on knowledge, skills and judgment acquired through education and relevant experience to plan and accomplish assigned tasks and goals

Additional Qualifications/Responsibilities

Minimum Qualifications

Bachelor's degree in quantitative field
2 to 4 years of relevant experience
Thorough understanding of applied and financial mathematics concepts and techniques (including advanced statistical techniques)
Ability to use a broad range of development languages (e.g. C/C++, Python, Perl, Matlab, etc.), and databases query languages
Ability to quickly master industry fundamental concepts including energy commodity markets, portfolio valuation, and system dynamics
Should be self-driven and able to work in (and lead) team sizes ranging from individual contribution to several members.

Preferred Qualifications

Energy industry experience
Prior experience in an operations research role
In-depth experience in one or more programing language
Ideal candidate with have experience performing advanced quantitative analysis and developing and/or validating risk models.
Technical & Analytical Skills


Advanced proficiency in SQL, Python for querying large datasets, performing statistical analysis, and automating data pipelines related to outage and reliability metrics (e.g., SAIFI, SAIDI, CAIDI).
Strong data visualization and storytelling skills using tools like Power BI or Tableau to translate complex analyses into executive-ready insights.