Exelon is looking to solve the problem of advancing a climate-ready energy system through innovative policy and strategic planning by hiring a Senior Quantitative Analyst to support the Evaluation, Measurement, and Verification (EM&V) of their Demand Side Management (DSM) portfolio.
Requirements
- 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
- 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
- Background in applied system dynamics theory
- 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
Responsibilities
- 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 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.
- 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.
- 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.
Other
- Bachelor's degree in quantitative field
- 4-7 years of relevant experience
- Should be self-driven and able to work in (and lead) team sizes ranging from individual contribution to several members.
- Strong communication skills with the ability to explain technical findings to non-technical audiences (regulators, leadership, community stakeholders).
