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Exelon Services, Inc.

Sr Quantitative Analyst

Exelon Services, Inc., Baltimore, Maryland, United States, 21276


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, 19,000 colleagues strong serving more than 10 million customers at six energy companiesAtlantic 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).

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 OF POSITIONThe Sr 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 AND ACCOUNTABILITIESLeverage in-depth technical knowledge of predictive analytics, statistics, modelling techniques and simulation approaches to develop valuation, risk management, and pricing models. (30%)Conduct research and produce proof-of-concept demonstration systems to test new quantitative modeling approaches and solutions to complex problems (20%)Translate quantitative and business concepts into efficient, robust, supportable system design and architecture. (15%)Provide leadership, training, and mentorship to less experienced technical analysts on the team and in the organization (15%)Partner with IT to develop complex data structures and a business intelligence platform for reporting end user data mining (10%)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 Manager Fundamental AnalysisWorks under minimal supervision, relying on knowledge, skills and judgment acquired through education and relevant experience to plan and accomplish assigned tasks and goals

MINIMUM QUALIFICATIONS

Bachelor's degree in quantitative field4-7 years of relevant experienceThorough 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 languagesAbility to quickly master industry fundamental concepts including energy commodity markets, portfolio valuation, and system dynamicsShould be self-driven and able to work in (and lead) team sizes ranging from individual contribution to several members.PREFERRED QUALIFICATIONS

Masters or PhD in quantitative fieldEnergy industry experiencePrior experience in an operation research roleIn-depth experience in one or more programing languageBackground in applied system dynamics theoryIdeal candidate with have experience performing advanced quantitative analysis and developing and/or validating risk models to support senior managers in running their quantitative strategies.