Senior Quantitative Engineer – Energy Grid Analytics & Insights

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

Benefits offered by this job

Annual salary $112k–$154k

Annual bonus 15%

401(k) match

Medical, dental, vision

Life and disability insurance

Generous paid time off

Employee Assistance Program

Tuition reimbursement

Referral bonus

Job summary

Exelon is seeking a Senior Quantitative Engineer to develop and maintain quantitative models for engineering studies and strategic initiatives. You will analyze trends, communicate results to leadership, and stay abreast of energy industry developments.

The role may require extended hours during storms or energy delivery emergencies. The position emphasizes strong mathematical techniques, programming in MATLAB/Python/R/C++, and collaboration across teams to improve performance and cost

Qualifications

• Bachelor of Science degree in engineering or quantitative disciplines.
• 7+ years of professional engineering or quantitative analyst experience.
• Knowledge of MATLAB, Python, R, C++, SQL, VBA.
• License must be issued by the state in which you are practicing.
• Graduate degree reduces OJT experience requirement by 1 year.

Responsibilities

• Performs assignments in specialized areas requiring extensive quantitative analysis.
• Develops and maintains quantitative analytical models and methodologies.
• Evaluates and supports strategic and engineering projects with financial impact.
• Acts independently and may lead multi-discipline teams.
• Provides training and guidance to others.

Skills

Quantitative analysis

Teamwork

Communication skills

Problem solving

Education

Bachelor of Science in engineering or quantitative discipline

Graduate degree in engineering or quantitative field

Tools

MATLAB

Python

R

C++

SQL

VBA

Power BI

Job description

Exelon is seeking a Senior Quantitative Engineer to develop and maintain quantitative models for engineering studies and strategic initiatives. You will analyze trends, communicate results to leadership, and stay abreast of energy industry developments.

The role may require extended hours during storms or energy delivery emergencies. The position emphasizes strong mathematical techniques, programming in MATLAB/Python/R/C++, and collaboration across teams to improve performance and cost