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

This role offers the opportunity to help address some of the most consequential challenges facing the energy sector, including grid modernization, clean energy integration, customer affordability, and growing electricity demand. The team's work directly influences decisions that shape how energy is delivered, priced, and planned, allowing analytical insights to translate into meaningful outcomes for the communities and customers we serve.

The Sr Quantitative Analyst 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.
• Conduct research and produce proof-of-concept demonstration systems to test new quantitative modeling approaches and solutions to complex problems
• Translate quantitative and business concepts into efficient, robust, supportable system design and architecture.
• Provide leadership, training, and mentorship to less experienced technical analysts on the team and in the organization
• Partner with IT to develop complex data structures and a business intelligence platform for reporting end user data mining
• Partner with stakeholder analytics teams across ComEd and the Enterprise to expand the use and gather feedback on the models and systems

Job Scope

This role offers the opportunity to help address some of the most consequential challenges facing the energy sector, including grid modernization, clean energy integration, customer affordability, and growing electricity demand. The team's work directly influences decisions that shape how energy is delivered, priced, and planned, allowing analytical insights to translate into meaningful outcomes for the communities and customers we serve.

Minimum Qualifications

• Bachelor's degree in quantitative field
• 4-7 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

• Advanced Excel modeling, including auditable, input-driven financial, forecasting, scenario, and cost-benefit analysis models.
• Data governance and documentation practices supporting auditable, reproducible models and datasets.
• Python, workflow automation, and AI-assisted analytical tools. PLEXOS or comparable market, production-cost, or resource-planning modeling tools.
• S&P CapIQ, Wood Mackenzie, and ComEd Exelon systems, including CC&B and PJM data sources.
• Experience incorporating generative AI, Copilot, and automation tools into analytical workflows.
• Energy or utility industry experience, particularly in planning, markets, regulatory affairs, or customer analytics. Familiarity with power-sector markets and Illinois energy policy, including PJM, CEJA, CRGA, the Grid Plan, IRP, RPS, and REC-related analysis.

Benefits

• Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $95,200.00/Yr. – $130,900.00/Yr.
• Annual Bonus for eligible positions: 15%
• 401(k) match and annual company contribution
• Medical, dental and vision insurance
• Life and disability insurance
• Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
• Employee Assistance Program and resources for mental and emotional support
• Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
• Referral bonus program
• And much more

Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.