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Quantitative Analyst
(more about Exelon)
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Quantitative Analyst

Job Description

Description

Be a part of something powerful at America's leading energy provider!

At Exelon, our people are the heart and soul of our business. Whether it's powering lives, supporting communities, or collaborating with colleagues, an Exelon employee is talented, compassionate, forward-thinking, and inspired. We are a Fortune 200 company united by our values and shared vision for a cleaner and brighter future. We encourage curiosity, value diverse perspectives and we never stop looking for ways to be, work and do better. We know the future is in our hands. That's why we're looking for people like you, who have the power to make a difference.

As the nation's largest utility company, we serve more than 10 million customers through six fully regulated transmission and distribution utilities -- 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). All 18,000 of us are committed to delivering safe, reliable, and affordable energy to our customers, strengthening our communities, supporting a clean energy future, and reducing our impact on the changing climate.

Our people are empowered to evolve and advance their careers in an open and inclusive environment. We pride ourselves on being the kind of place where people want to come, stay, and grow -- whether that's in the role and path they start in or in new and exciting career opportunities across our business. We know that investing in our employees' futures strengthens ours, which is why we offer competitive compensation, incentives, opportunities for career path changes, and health and retirement benefits.

PRIMARY PURPOSE OF POSITION

The 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 ACCOUNTABILITIES

  • Leverage in-depth technical knowledge of predictive analytics, statistics, modelling techniques and simulation approaches to develop valuation, risk management, and pricing models. (50%)
  • Conduct research and produce proof-of-concept demonstration systems to test new quantitative modeling approaches and solutions to complex problems (25%)
  • Translate quantitative and business concepts into efficient, robust, supportable system design and architecture. (15%)
  • 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 Director Advanced Analysis
  • This is an individual contributor position that woks under general supervision, relying on knowledge, skills and judgment acquired through education and relevant experience to plan and accomplish assigned tasks and goals

Qualifications

MINIMUM QUALIFICATIONS

  • Bachelor's degree in quantitative field
  • 2 to 5 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

  • Energy industry experience
  • Prior experience in an operation research role
  • In-depth experience in one or more programing language
  • 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.