Principal Quantitative Analyst (Hybrid)

Job Description

Description

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 companies -- 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).

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?

The Principal Quantitative Analyst role for the Corporate Strategy, Innovation, and Sustainability (CSIS) modeling and analysis team will apply industry expertise to develop and refine modeling approaches to enable in-depth research and analyses on topics related to:

• Analyzing and reporting on general energy market trends including system-wide scenario analysis
• Modeling the integration of renewable energy into the electric grid and the associated system and market impacts
• Assessing the evolution of supply and demand on the gas and electric system as a part of the overall energy transition
• Assessing incentive impact on overall adoption of new technologies aimed at reducing greenhouse gas emissions
• Quantifying long-term energy affordability and equity challenges

As a senior quantitative analyst on the team, this position requires prior experience in energy system modeling related to either demand-side or supply-side analyses. A solid understanding of traditional financial and/or economic modeling techniques along with a strong foundation in programing, statistical methods, and data analysis is also essential. This role provides an opportunity to build or enhance those skills while broadening expertise in a wide variety of energy-related topics. As a member of the CSIS modeling and analysis team, the successful candidate will collaborate directly with strategy, policy, and finance leadership at each of our utilities and will have frequent opportunity to showcase their work with senior executives.

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. (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 the Enterprise to expand the use and gather feedback on the models and systems (10%)

JOB SCOPE

• Reports to the Director of  Modeling and 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

Qualifications

MINIMUM QUALIFICATIONS

• Bachelor's degree in quantitative field
• 8 to 10 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

• Masters or PhD in quantitative field
• Energy industry experience
• 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.