Location: Carneys Point, NJ, United States
Organization: PHI Service Company
Job ID: 229629
Date Posted: Feb 9, 2021
Description
At Exelon, we've got a place for you!
Join the nation's leading competitive energy provider, with one of the largest electricity generation portfolios and retail customer bases in the country. You will be part of a family of companies that strives for the highest standards of power generation, competitive energy sales, and energy delivery. Our team of outstanding professionals is focused on performance, thought leadership, innovation, and the power of ideas that come from a diverse and inclusive workforce.
Exelon will provide you the tools and resources you need to design, build and enhance a successful career. We are also dedicated to motivating the success of our employees through competitive base salary, incentives, and health and retirement benefits.
Join Exelon and share your passion at a forward-thinking Fortune 100 company. Establish yourself in a place where you can truly shine and create a brighter, more sustainable tomorrow. Energize your career at Exelon!
This Senior Quantitative Analyst will focus on proposing and developing new forecasting models, building accounts receivable health modeling infrastructure, designing and prototyping business and financial metrics, producing ad hoc analysis on drivers of short-term developments for bad debt, overseeing department operational and financial metric reporting, providing analytical support to Customer Financial Operations functions, and supporting business initiatives.
PRIMARY PURPOSE OF POSITION
The Sr Quantitative Analyst for the will design and develop proprietary simulation models to support portfolio valuation and overall strategic planning. The successful candidate will collaborate directly with various departments to 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 programing, statistical methods, and data analysis is essential.
PRIMARY DUTIES AND ACCOUNTABILITIES
Qualifications
MINIMUM QUALIFICATIONS