Quantitative Analyst

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Location: BALTIMORE, MD, United States
Organization: Baltimore Gas & Electric Co
Job ID: 235223
Date Posted: Dec 11, 2021
Job: Accounting & Finance

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Job Description


At Exelon, we've got a place for you!

Join the nation's leading competitive energy provider, with one of the largest electricity generation portfolios and retail customer bases in the country. You will be part of a family of companies that strives for the highest standards of power generation, competitive energy sales, and energy delivery. Our team of outstanding professionals is focused on performance, thought leadership, innovation, and the power of ideas that come from a diverse and inclusive workforce.

Exelon will provide you the tools and resources you need to design, build and enhance a successful career. We are also dedicated to motivating the success of our employees through competitive base salary, incentives, and health and retirement benefits.

Join Exelon and share your passion at a forward-thinking Fortune 100 company. Establish yourself in a place where you can truly shine and create a brighter, more sustainable tomorrow. Energize your career at Exelon!


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.

  • 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%)

  • 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



  • 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.


  • 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.


Special Posting Notes

This position is in BGE’s Grid Data Analytics unit, part of Smart Grid and Innovation group, and will play a crucial role in supporting the team with various grid related use cases. This role specifically supports various groups within the Distribution Engineering and Standards Department.

The successful candidate will:

  1. Work closely with Manager of Data Analytics in mapping the strategy and identifying the use cases for the Electric and Gas Grid analytics
  2. Partner tightly with the Senior Data Scientists and Principal/Senior Quantitative Engineers to accurately develop the models, test them, and deploy them to internal customers
  3. Will not only be technically/domain proficient but also needs to understand and be part of the business development and support activities
  4. Will perform the typical ETL tasks for all use cases such as:
    1. Extracting Data from single or multiple Data Sources
    2. Transforming Data as per business logic. Transformation is a two steps process- data cleansing and data manipulation.
    3. Loading transformed data into the target data source or data warehouse.
  5. Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
  6. Build data pipelines for taking the models the data scientists develops and maintains the “under the hood” aspect of the end-product
  7. Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  8. Perform data quality on certain datasets with Senior Data Scientist/Senior Quantitative Engineers as needed

Work with the team to build the analytics infrastructure needed to successfully complete use cases from start to finish

Exelon is proud to be an equal opportunity employer and employees or applicants will receive consideration for employment without regard to: age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law.

VEVRAA Federal Contractor

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