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Quantitative Analyst

Location: BALTIMORE, MD, United States
Organization: Baltimore Gas & Electric Co
Job ID: 231292
Date Posted: May 5, 2021

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Job Description

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!

 

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

 

PRIMARY PURPOSE OF POSITION

 

The Quantitative Analyst will develop and maintain quantitative analytical models and methodologies to identify trends and predict outcomes, effectively communicate and report on modeling methodologies and results. The Quantitative Analyst will employ quantitative methodologies and provide quantitative analysis to support engineering studies, plans, calculations, evaluations, design documents, integrated systems analysis, cost estimates, budgets, associated with the research, planning, design, operation, and maintenance of Exelon Utilities’ overall strategic plans and initiatives. The person will be responsible of monitoring and responding to business needs by staying abreast of developments in the energy industry and provide analysis/reports to meet those needs.

 

PRIMARY DUTIES AND ACCOUNTABILITIES
 

- Serves as an expert in the quantitative engineering area.

- Performs assignments in grid operation areas requiring extensive quantitative analysis, research and engineering expertise.

- Performs tasks associated with critical or analytical engineering projects, develop and maintain quantitative analytical models and methodologies to identify trends and predict outcomes, provide explanations of the modeling and its results to management and senior leaders.

-Leverage in-depth technical knowledge of predictive analytics, statistics, modelling techniques and simulation approaches to develop valuation, risk management, and pricing models.

 

-Conduct research and produce proof-of-concept demonstration systems to test new quantitative modeling approaches and solutions to complex problems.

 

-Translate quantitative and business concepts into efficient, robust, supportable system design and architecture.

 

-Partner with stakeholder analytics teams across BGE and the Enterprise to expand the use and gather feedback on the models and systems.

 

 

 

 

 

Qualifications

POSITION SCOPE


-Reports to the Senior Manager of Smart Grid and Innovation (Grid Analytics).

 

-This is an individual contributor position that woks under general supervision of Sr Data Scientist and the group Manager relying on knowledge, skills and judgment acquired through education and relevant experience to plan and accomplish assigned tasks and goals.

 

POSITION SPECIFICATIONS

 

Minimum:

 

-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:

 

- Master’s in Data Science or Quantitative Field. In lieu of Master’s then a related program or equivalent data science certification

-Ideal candidate will have experience performing quantitative analysis and developing and/or validating models to support data scientist or quantitative engineers in running their quantitative strategies.

-Experience obtaining insights from data in the form of descriptive analytics and visuals

-Experience with Python, R, ArcGIS, and Oracle in obtaining and manipulating data (Python = HIGHEST priority)

-Experience with complex SQL queries and the ability to edit current queries with ease

-Cloud and DevOps experience using Microsoft Azure and the ability to track code and processes using repositories (e.g. GIT)

-Ability to handle changing deadlines and with ease

-Experience developing, deploying, and scaling data science models (e.g. predictive)

-Previous experience with Energy or Utility industry experience

 

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.
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