Senior Quantitative Engineer: Energy Analytics & Grid Insights

Exelon Corporation; Baltimore (MD); On-site; USD 112,000 - 154,000; Full time

Benefits offered by this job

401(k) match

Medical, dental and vision insurance

Life and disability insurance

Generous paid time off

Tuition reimbursement

Employee Assistance Program

Referral bonus program

Job summary

Exelon Corporation in Baltimore, MD seeks a Senior Quantitative Engineer to develop and maintain quantitative models for energy systems, planning and operations. You will analyze complex electrical and mechanical data, identify trends and report results to management.

The role requires strong programming in MATLAB, Python, SQL, and experience in engineering analytics. Expect collaboration across teams, with potential storms coverage and extended hours as needed.

Qualifications

• BS in engineering or quantitative disciplines as listed (Electrical/Industrial/Statistics/OR/CS/Math/Physics).
• Experience analyzing and interpreting complex electrical and mechanical systems.
• Knowledge of problem solving approaches and engineering theory.

Responsibilities

• Performs specialized quantitative analyses for engineering studies and budgets.
• Develops and maintains quantitative models to identify trends and predict outcomes.
• Applies quantitative analysis to trials with significant financial/operational impact.
• Participates in department planning, budgets and performance monitoring.
• May lead multi-discipline teams and provide training to others.
• Acts as an expert in quantitative engineering and reports to leadership.

Skills

Quantitative analysis

Mathematical modeling

Statistical methods

Education

BS in engineering or quantitative

Graduate degree preferred

PE license preferred

Tools

Python

MATLAB

R

SQL

Power BI

CYME

Job description

Exelon Corporation in Baltimore, MD seeks a Senior Quantitative Engineer to develop and maintain quantitative models for energy systems, planning and operations. You will analyze complex electrical and mechanical data, identify trends and report results to management.

The role requires strong programming in MATLAB, Python, SQL, and experience in engineering analytics. Expect collaboration across teams, with potential storms coverage and extended hours as needed.