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 (ComEd), 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 for Safety & Human Performance will design and develop dashboards that extract data/learnings from the various systems the department utilizes to collect data from the line organization on safe work performance to facilitate heightened risk management and assist in overall strategic planning for innovative deployment of resources, corrective actions, and best practices. The successful candidate will collaborate directly with Safety, Performance Assessment Group, I.T., risk analysts, and the line organization. They will apply quantitative techniques to measure and analyze model risks and form opinions on the strengths and opportunities of the data sets. A solid understanding of A.I., large language modeling, and other modeling techniques along with a strong foundation in programing, statistical methods, and data analysis is essential.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees