Senior Quantitative Engineer - Energy Analytics Leader

Exelon Corporation; Pennsylvania; On-site; USD 130,000 - 178,000; Full time

Benefits offered by this job

Annual salary reflecting market rate

401(k) match and company contributions

Medical, dental and vision insurance

Life and disability insurance

Generous paid time off

Tuition reimbursement and wellness

Job summary

Exelon Corporation seeks a Quantitative Engineer to lead quantitative methodologies and analyses supporting engineering studies, plans, and cost estimates. You will develop and maintain quantitative models, identify trends, and explain results to management.

The role may require extended hours during storms or energy-delivery emergencies. You will work across the utilities to support strategic plans, with a strong emphasis on data-driven decision making and collaboration with cross-functional

Qualifications

• Graduate degree (MS or above) in a quantitative field such as engineering, economics or data analytics.
• Ability to analyze complex electrical/mechanical systems and provide quantitative engineering analysis.
• Knowledge of engineering principles and problem solving approaches.
• Experience with programming in MATLAB, Python, R, C++, SQL, VBA.
• 8+ years of professional engineering or quantitative analyst experience.
• Ability to translate analysis into business recommendations.

Responsibilities

• Lead quantitative analysis initiatives and develop models to identify trends.
• Explain modeling results to management and senior leaders.
• Monitor business needs and provide analysis/reports for energy delivery operations.
• Participate in budgeting, planning and cross-disciplinary projects.
• Provide training and guidance to others.

Skills

Quantitative analysis

MATLAB

Python

R

C++

SQL

VBA

Education

MS or above in quantitative discipline

Tools

MATLAB

Python

R

C++

SQL

VBA

Job description

Exelon Corporation seeks a Quantitative Engineer to lead quantitative methodologies and analyses supporting engineering studies, plans, and cost estimates. You will develop and maintain quantitative models, identify trends, and explain results to management.

The role may require extended hours during storms or energy-delivery emergencies. You will work across the utilities to support strategic plans, with a strong emphasis on data-driven decision making and collaboration with cross-functional