Sr Quantitative Analyst

Who We Are

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, 20,000 colleagues strong serving more than 10.7 million customers at six energy companies -- Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (Com Ed), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).

We're committed to creating an environment where every person can thrive. Our employee experience is grounded in four tenets that guide how we support our people: purposeful careers, growth opportunities, community impact, and support to thrive.

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?

Primary Purpose

The Sr. Quantitative Analyst, within the Grid Analytics department, plays a critical role in advancing the organization's use of data and analytics to enable smarter, more reliable, and more resilient grid operations. This role focuses on translating advanced analytical models and data science solutions into scalable, production-ready tools that drive decision-making across business units and support grid modernization initiatives.

Working at the intersection of data science, analytics, and business strategy, the Sr. Quantitative Analyst partners with data scientists and operational stakeholders to operationalize models, integrate data across multiple systems, and deliver analytics solutions that generate measurable business value. This includes scaling analytics products across the enterprise and developing intuitive tools (e.g., Power BI dashboards, applications) that empower end users to act on insights.

The role requires strong quantitative and technical skills, combined with the ability to translate complex analytical concepts into practical, user-focused solutions that are sustainable, scalable, and aligned with business needs.

Primary Duties

* Partner with data scientists to product ionize and scale analytical models into enterprise-ready solutions that are robust, maintainable, and deliver business value (25%)

* Leverage advanced knowledge of predictive analytics, statistical modeling, and simulation techniques to develop solutions supporting grid reliability, asset health, and risk-informed decision-making (20%)

* Design and develop user-facing analytical tools and dashboards (e.g., Power BI, applications) to support business decision-making (20%)

* Integrate and analyze data from multiple systems and sources (e.g., AMI, SCADA, GIS, asset systems, enterprise platforms) to enable cross-functional insights and analytics use cases (15%)

* Translate business needs and analytical concepts into scalable, supportable system designs and solutions (15%)

* Partner with stakeholders across the organization to drive adoption of analytics solutions and continuously improve tools and models based on user feedback (5%)

Job Scope

* Works under minimal supervision, using experience and judgment to plan, prioritize, and execute complex analytical initiatives

* Regularly collaborates across business units and analytics teams to deliver enterprise-level solutions

Minimum Qualifications

* Bachelor's degree in quantitative field

* 4-7 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,…