Senior Quantitative Analyst (Senior Strategic Planning Analyst)

Sr Quantitative Analyst

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.

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

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.