Quantitative Analyst - Oakbrook Terrace, IL

Eligibility

• Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers.

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 programming, statistical methods, and data analysis is essential.

• Leverage in-depth technical knowledge of predictive analytics, statistics, modeling techniques, and simulation approaches to develop valuation, risk management, and pricing models.
• Conduct research and produce proof‑of‑concept demonstration systems to test new quantitative modeling approaches and solutions to complex problems.
• Translate quantitative and business concepts into efficient, robust, and supportable system design and architecture.
• Partner with stakeholder analytics teams across Com Ed and the Enterprise to expand the use and gather feedback on the models and systems.
• Report to the Director of Advanced Analysis and work independently with general supervision, using knowledge, skills, and judgment gained through education and relevant experience.

• Bachelor’s degree in a 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 database query languages.
• Ability to quickly master industry fundamental concepts, including energy commodity markets, portfolio valuation, and system dynamics.
• Self‑driven and able to work in, and lead, teams of varying sizes from individual contributions to several members.

• Energy industry experience.
• Prior experience in an operations research role.
• In‑depth experience in one or more programming languages.
• Experience performing advanced quantitative analysis and developing and/or validating risk models.

• Advanced proficiency in SQL and Python for querying large datasets, performing statistical analysis, and automating data pipelines related to outage and reliability metrics (e.g., SAIFI, SAIDI, CAIDI).
• Strong data visualization and storytelling skills using tools such as Power BI or Tableau to translate complex analyses into executive‑ready insights.

• Annual salary: $75,200 – $103,400 per year.
• Annual bonus: up to 10% for eligible positions.
• 401(k) match and annual company contribution.
• Medical, dental, and vision insurance.
• Life and disability insurance.
• Generous paid time off: vacation, sick time, floating and fixed holidays, maternity leave, bonding/primary caregiver leave, or parental leave.
• Employee Assistance Program and resources for mental and emotional support.
• Well‑being programs: tuition reimbursement, adoption and surrogacy assistance, fitness reimbursement.
• Referral bonus program.

Oakbrook Terrace, Illinois