Sr Quantitative Analyst

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!

PRIMARY PURPOSE OF POSITION

The Sr Quantitative Analyst for the Smart Grid Smart Meter Analytics team will design and develop analytics to support Smart Meter and Grid Operations. As a member of the Advanced Analytics team, the successful candidate will collaborate directly with various internal stakeholder and external partners to understand business needs, by providing and receiving regular feedback. He or she will apply the scientific method to extract knowledge and insights from data, which may take the form of time-series (smart-meters, smart-grid, weather and other IoT), structured (relational data stores), and unstructured (text and multi-media) data sets. Leverage these insights to deploy data-driven applications in support of strategic business priorities.

PRIMARY DUTIES AND ACCOUNTABILITIES

• Leverage in-depth technical knowledge of predictive analytics, statistics, modelling techniques and simulation approaches to support Smart Meter and Grid Operations.
• 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.
• Provide leadership, training, and mentorship to less experienced technical analysts on the team and oversee their activities where needed
• Partner with IT to develop complex data structures and a business intelligence platform for reporting end user data mining
• Partner with stakeholder and analytics teams across PECO and the Exelon to expand the use of Data Analytics
• Provide subject matter expertise in the areas of artificial intelligence, machine learning, feature engineering, data mining, data manipulation/storage, and high-performance computing.

JOB SCOPE

• Reports to the SGSM Analytics Manager 
• 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
• 5 to 8 years of relevant experience
• Ability to use a broad range of development languages (e.g. C/C++, Python, Perl, Matlab, etc.), and databases query languages
• Demonstrated ability to perform responsibilities under time pressure with a high degree of accuracy, to prioritize multiple tasks effectively, build consensus, and adapt to evolving business needs
• Should be self-driven and able to work in (and lead) team sizes ranging from individual contribution to several members.
• Should be able to Provide leadership, training, and mentorship to less experienced technical analysts on the team and in the organization.

PREFERRED QUALIFICATIONS

• Masters or PhD in quantitative field
• In-depth experience in one or more programing language. (Python, R, Scala, etc).
• Experience in mathematical analysis methods, probability distributions, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas.
• Expertise in tools like Dremio to manipulate large data sets and develop statistical models.
• Collaborate with business team to formulate innovative solutions to experiment and implement advanced data mining techniques
• Self-Starter/Driven personality
• Ability to work in fast-paced environment as self-starter, able to learn new technologies relatively quickly 

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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EEO is the Law Poster