Prin Quantitative Analyst at PEPCO

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Mar, 26

Salary

154000.0

Posted On

22 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Predictive Analytics, Statistics, Modelling Techniques, Data Analysis, Data Modeling, Risk Management, Pricing Models, Technical Knowledge, Leadership, Mentorship, Collaboration, Energy Commodity Markets, Portfolio Valuation, System Dynamics, Programming Languages, Simulation Approaches

Industry

Construction

Description

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, 19,000 colleagues strong serving more than 10 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). 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 PRIMARY PURPOSE OF POSITION The Clean Energy Strategy (CES) organization is focused on driving the advancement of a climate ready energy system. CES develops and advocates for high impact policy solutions that address emerging climate change issues. The Principal Quantitative Analyst for the Policy and Strategy team will design and develop data models and perform data analysis to inform policy development and support overall strategic planning. The successful candidate will collaborate directly with internal and external stakeholders. A solid understanding of both data modeling/analysis and policy development is essential. Primary Duties PRIMARY DUTIES AND ACCOUNTABILITIES Support the development of organizational strategic policies through technical knowledge of predictive analytics, statistics, and modelling techniques Participate in industry activities including working groups or task forces Lead cross-organizational projects and prepare periodic and as needed status reports on the projects being executed Partner with stakeholder analytics teams across PHI and the Enterprise gather feedback on the models and systems Leverage in-depth technical knowledge of predictive analytics, statistics, modelling techniques and simulation approaches to develop valuation, risk management, and pricing models. Provide leadership, training, and mentorship to less experienced technical analysts on the team and in the organization. Job Scope JOB SCOPE 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 MINIMUM QUALIFICATIONS Bachelor's degree in quantitative field OR in lieu of Bachelor's degree, 9-12 years of relevant business experience 8 to 10 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 PREFERRED QUALIFICATIONS Masters or PhD in quantitative field Energy industry experience Ideal candidate will have experience performing quantitative and developing models to support strategic policy development. Benefits Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $112,000.00/Yr. – $154,000.00/Yr. Annual Bonus for eligible positions: 20% 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.

Responsibilities

The Principal Quantitative Analyst will design and develop data models and perform data analysis to inform policy development and support strategic planning. This role involves collaborating with internal and external stakeholders and leading cross-organizational projects.