Quantitative Analyst

About the job

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 (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 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.

Primary Duties

• 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%)

Job Scope

• Reports to the Manager Regulatory Analytics
• 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
• Business acumen Ability to quickly understand business processes, objectives, risks, and stakeholder needs. Consultative mindset Skilled at asking the right questions, uncovering root causes, and translating business needs into practical solutions. Ownership and accountability Takes initiative, follows work through implementation, and is accountable for quality and results. Attention to detail Strong commitment to accuracy, data integrity, documentation, and quality control.
• Communication and storytelling Ability to explain complex findings clearly and present concise, decision-focused recommendations to nontechnical and leadership audiences. Collaboration Builds productive relationships across functions Prioritization and judgment Evaluates value, effort, risk, and urgency when managing competing requests or recommending improvements.
• Adaptability and learning agility Quickly learns unfamiliar business areas, systems, and processes and applies that knowledge effectively.
• Continuous-improvement mindset Looks beyond completing the immediate task to create scalable, maintainable, and repeatable solutions.
• Strong analytical and problem-solving skills with the ability to translate data into actionable business insights and recommendations.
• Process improvement mindset focused on simplifying, standardizing, automating, and optimizing business processes, workflows, and reporting.
• Experience leveraging analytics, automation, AI, and emerging technologies to improve efficiency, decision-making, and business outcomes.
• Data-driven professional with an understanding of performance metrics, reporting, data quality, and continuous improvement.
• Effective communicator and collaborator who can partner across functions, simplify complex concepts, and influence positive change.
• Self-motivated, adaptable, and technology-curious with the ability to manage competing priorities and drive results in a fast-paced environment.

Minimum Qualifications

• Bachelor's degree in quantitative field
• 2 to 4 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 Qualifications

• 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.
• Advanced Excel, including Power Query, PivotTables, and complex formulas Power BI, including dashboard development, data modeling SQL for querying, validating, and analyzing data Power Automate or similar workflow automation tools Python or another analytical programming language Experience with data quality controls, KPI development, reporting governance, and process improvement Familiarity with AI tools and responsible AI practices

Benefits

• Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $75,200.00/Yr. – $103,400.00/Yr.
• Annual Bonus for eligible positions: 10%
• 401(k) match and annual company contribution
• Medical, dental and vision insurance
• Life and disability insurance
• Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
• Employee Assistance Program and resources for mental and emotional support
• Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
• Referral bonus program
• And much more

Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.