Prin Quantitative Analyst
PRIMARY PURPOSE OF POSITION
The Principal Quantitative Analyst will design and develop proprietary simulation models to support overall strategic planning for innovative utility platform initiatives. 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 programing, statistical methods, and data analysis is essential.
Primary Duties:PRIMARY DUTIES AND ACCOUNTABILITIES
- Leverage in-depth technical knowledge of predictive analytics, statistics, modelling techniques and simulation approaches to develop valuation, risk management, and pricing models. (30%)
- Conduct research and produce proof-of-concept demonstration systems to test new quantitative modeling approaches and solutions to complex problems (20%)
- Translate quantitative and business concepts into efficient, robust, supportable system design and architecture. (15%)
- Provide leadership, training, and mentorship to less experienced technical analysts on the team and in the organization (15%)
- Partner with IT to develop complex data structures and a business intelligence platform for reporting end user data mining (10%)
- Partner with stakeholder analytics teams across PECO to expand the use and gather feedback on the models and systems (10%)
JOB SCOPE
- Reports to Manager of Business Planning and Support within Transmission & Substation group
- Works under minimal supervision, relying on knowledge, skills and judgment acquired through education and relevant experience to plan and accomplish assigned tasks and goals
MINIMUM QUALIFICATIONS
- Bachelor's degree in quantitative field OR in lieu of Bachelor's degree, 9-12 years of relevant business experience
- 8 to 10 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 databases query languages
- Ability to quickly master industry fundamental concepts including energy commodity markets, portfolio valuation, and system dynamics
- Should be self-driven and able to work in (and lead) team sizes ranging from individual contribution to several members.
PREFERRED QUALIFICATIONS
- Master's degree in quantitative field
- Energy industry experience
- Prior experience in an operation research role
- In-depth experience in one or more programing languages
- Experience with SQL and PowerBI
- Ideal candidate will have experience performing advanced quantitative analysis and developing and/or validating risk models to support senior managers in running their quantitative strategies.
- Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $112,000.00/Yr. – $154,000.00/Yr.
- Annual Bonus for eligible positions: 20%
- 401(k) match and annual company contribution
- Medical, dental and vision insurance
- Life and disability insurance
- Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
- Employee Assistance Program and resources for mental and emotional support
- Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
- Referral bonus program
- And much more
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