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The Clean Energy Strategy (CES) organization is dedicated to advancing a climate-ready energy system through innovative policy and strategic planning. The Senior Quantitative Analyst will play a critical role in supporting the Evaluation, Measurement, and Verification (EM&V) of Exelon’s Demand Side Management (DSM) portfolio, including Energy Efficiency, Demand Response, and emerging distributed energy resource programs. This role is responsible for applying advanced analytical methods to assess customer adoption of efficient technologies, realization rates, net-to-gross ratios, cost-effectiveness, and greenhouse gas (GHG) reduction impacts. The Analyst will develop actionable insights that inform regulatory filings, program design, and performance optimization. The ideal candidate will bring direct experience with utility DSM programs and demonstrate strong quantitative and policy skills to ensure Exelon’s programs deliver maximum customer, grid, and environmental value.
- Leverage in-depth technical knowledge of predictive analytics, statistics, modelling techniques and simulation approaches to develop valuation, risk management, program and pricing models for strategic initiatives and DSM portfolios, including Energy Efficiency, Demand Response, and emerging distributed energy resource programs. Apply quantitative methods to assess realization rates, net-to-gross ratios, cost-effectiveness testing (TRC, UCT, RIM), customer adoption of efficient technologies, and greenhouse gas (GHG) reduction tracking.
- Conduct research and produce proof-of-concept demonstration systems to test new quantitative modeling approaches and solutions to complex problems such as program potential studies, AMI-based load shape analysis, cost-effectiveness scenario testing, and long-term electrification adoption modeling. Translate findings into actionable insights that inform regulatory filings, program design, and business strategy
- Translate quantitative and business concepts into efficient, robust, supportable system design and architecture including dashboards, KPI tracking tools, and reporting frameworks that communicate program performance, customer impacts, and strategic progress. Ensure reporting meets regulatory standards and supports internal decision-making
- Provide leadership, training, and mentorship to less experienced technical analysts and program managers on topics such as EM&V concepts, cost-effectiveness analysis, GHG tracking, and the use of predictive analytics in program planning.
- Contribute to building organizational knowledge of DSM evaluation practice
- Partner with IT to develop complex data structures and a business intelligence platform to streamline QA/QC processes, automate reporting, and enable data mining for program evaluation. Collaborate with EM&V vendors and implementation teams to ensure data accuracy and regulatory compliance.
- Partner with stakeholder analytics teams across PHI and the Enterprise to expand the use of models, gather feedback and align methodologies with broader regulatory, policy, and business objectives. Engage in EM&V working groups, TRM updates, and regulatory proceedings to ensure alignment with industry best practices.
- Reports to the Manager Fundamental Analysis
- Works under minimal supervision, relying on knowledge, skills and judgment acquired through education and relevant experience to plan and accomplish assigned tasks and goals
- 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.- Advanced degree in Statistics, Applied Mathematics, Economics, Data Science, Engineering, or related field
- 2+ years of relevant experience in quantitative analysis, program evaluation, or predictive modeling with a focus on utility Demand Side Management (DSM) programs (Energy Efficiency, Demand Response, Electrification, or Distributed Energy Resources
- Demonstrated knowledge of EM&V concepts, including realization rates, net-to-gross ratios, cost-effectiveness testing approaches (TRC, UCT, RIM, SCT), and benefit-cost analysis
- Strong communication skills with the ability to explain technical findings to non-technical audiences (regulators, leadership, community stakeholders).
- Ideal candidate with have experience performing advanced quantitative analysis and developing and/or validating risk models to support senior managers in running their quantitative strategies
- 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.