The Principal Quantitative Analyst for the Utility of the Future will design and develop proprietary simulation models to support portfolio valuation, pricing, risk management, and overall strategic planning for innovative utility platform initiatives. As a member of the Advanced Analytics team, the successful candidate will collaborate directly with economists, financial engineers, risk analysts, and policy experts. He or she will apply quantitative techniques to measure and analyze model risks... more details 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. -Lead key Customer Operations KPI analyses by utilizing large datasets to extract meaningful insights and trends. -Develop models to understand key root causes driving business operations and metrics performance. Create forecasting tools for Customer Operations key metrics. -Build data visual tools to provide insights to key Customer Operations performance. -Partner across Customer Operations to leverage data insights to develop strategies, improvement plans and initiatives. 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. Conduct research and produce proof-of-concept demonstration systems to test new quantitative modeling approaches and solutions to complex problems Translate quantitative and business concepts into efficient, robust, supportable system design and architecture. Provide leadership, training, and mentorship to less experienced technical analysts on the team and in the organization Partner with IT to develop complex data structures and a business intelligence platform for reporting end user data mining Partner with stakeholder analytics teams across Com. Ed and the Enterprise to expand the use and gather feedback on the models and systems JOB SCOPE Reports to the Director of Advanced Analytics 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 - Masters or PhD in quantitative field. Energy industry experience. Prior experience in an operation research role. In-depth experience in one or more programing language. Background in applied system dynamics theory. Ideal candidate with have experience performing advanced quantitative analysis and developing and/or validating risk models to support senior managers in running their quantitative strategies.
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