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 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.

Primary Duties

• Leverage in-depth technical knowledge of predictive analytics, statistics, modelling techniques and simulation approaches to develop valuation, risk management, and various models. (30%)
• Conduct research and produce proof-of-concept demonstration systems to test new quantitative modeling approaches and solutions to complex problems (20%)
• Translate quantitative and business concepts into efficient, robust, supportable system design and architecture. (15%)
• Engage with department stakeholders to automate manual processes (10%)
• Partner with IT to develop complex data structures and a business intelligence platform for reporting end user data mining (15%)
• Partner with stakeholder analytics teams across Com Ed and the Enterprise to expand the use and gather feedback on the models and systems (10%)

Job Scope

• Reports to the Sr Manager Safety/Human Performance
• Works under minimal supervision, relying on knowledge, skills and judgment acquired through education and relevant experience to plan and accomplish assigned tasks and goals

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, 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

• Masters or PhD in quantitative field
• 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.

Benefits

• Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $95,200.00/Yr. – $130,900.00/Yr.
• Annual Bonus for eligible positions: 15%
• 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.

• Leverage in-depth technical knowledge of predictive analytics, statistics, modelling techniques and simulation approaches to develop valuation, risk management, and various models. (30%)
• Conduct research and produce proof-of-concept demonstration systems to test new quantitative modeling approaches and solutions to complex problems (20%)
• Translate quantitative and business concepts into efficient, robust, supportable system design and architecture. (15%)
• Engage with department stakeholders to automate manual processes (10%)
• Partner with IT to develop complex data structures and a business intelligence platform for reporting end user data mining (15%)
• Partner with stakeholder analytics teams across Com Ed and the Enterprise to expand the use and gather feedback on the models and systems (10%)
• 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, 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.