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Sr Portfolio Mgmt Analyst

Duke Energy
relocation assistance
United States, North Carolina, Charlotte
525 South Tryon Street (Show on map)
Nov 19, 2024
More than a career - a chance to make a difference in people's lives.

Build an exciting, rewarding career with us - help us make a difference for millions of people every day. Consider joining the Duke Energy team, where you'll find a friendly work environment, opportunities for growth and development, recognition for your work, and competitive pay and benefits.

Position Summary

This is the third level of the Portfolio Management Analyst hierarchy. Employees at this level are expected to solve complex problems independently, manage workflow, and provide input / oversight for lower levels. They work with minimal supervision in two areas of specialization, a) Portfolio Management (UC), and b) Support for UC and interfacing workgroups. The UC position is primarily responsible for optimizing Duke Energy's regulated assets over a time horizon of approximately 2 weeks, which regularly includes independent decisions of multi-million dollar customer impact. The UC Support roles are responsible for the support and improvement of key Trading Floor functions including Power Trading, Gas Trading, Portfolio Management, and Generation Dispatch. Many of these functions rely on an economic optimization model and employ a number of software tools to automate and extend the functionality of the model to efficiently accomplish analysis and reporting, etc. At this level, the UC Support position will be actively engaged in both project management and software development activities. Both roles work together in a team-oriented environment to improve process efficiency and enhance the decision-making capabilities of generation dispatchers as well as front office functions of Power, Coal and Emissions Trading. Additional interfaces include Accounting, Risk Management, IT, and third party software vendor staff.

This position is in Charlotte, NC. The person filling this role will work in a dynamic team environment to support and improve software integral to operational load forecasting and the economic optimization of Duke Energy's generation fleet. Located within the Fuels and Systems Optimization organization, this position requires regular interface with IT, Commodity Trading Floor Personnel, Meteorologists, Energy Control Centers, Generation Stations, Fuel Procurement, and third-party software vendor staff. The selected candidate must have expertise developing and maintaining code with Java, C#, or similar object-oriented programming language. Experience with Oracle and/or Microsoft SQL server databases is also strongly desired. This position will be actively engaged in both project management and software development activities. Employees at this level are expected to solve complex problems independently, direct work and provide oversight for lower levels. They are expected to operate efficiently with wide latitude for unreviewed work. Our purpose is to help lead the way through the development of additional processes and tools to accommodate and effectively optimize current and future distributed energy resource and renewable energy growth to reliably manage the transition of the fleet and system for the benefit of our customers.

Responsibilities
  • Develop strong knowledge of the vendor tools used for system optimization to identify and resolve complex issues and provide oversight/testing of vendor software upgrades.
  • Use Java, C#, .NET, or other software to integrate modeling tools with upstream and downstream systems (e.g., data API's, generation resource scheduling, energy pricing, gas procurement, etc).
  • Develop and maintain software code for automation of modeling processes including routine changes to Java, VBA, C# code, and SQL queries.
  • Support software and manage data for production cost optimization models, load (electricity demand) and solar (generation) forecasting.
  • Develops hypotheses to improve forecasting accuracy for load and renewables. In conjunction with the other peers, research, develops and creates plans to enhance short-term load forecasts, renewable forecasts, and other energy models using statistical algorithmic, mining and visualization techniques.
  • Improve efficiency of economic dispatch decisions via automation of modeling and scenario analysis processes.
  • Develops and implements new forecasting tools, interfaces, and APIs so users can easily manipulate forecast or have quick access to data.
  • Improves methods for collecting and processing demand, energy, weather and economic data by analyzing historical and forecasted electric demand, generation and energy trends and related data.
  • Works with trading floor personnel to define requirements, identify solution options and associated risks/rewards and select appropriate directions for small projects.
  • Work with FSO personnel to develop and refine process controls and infrastructure that support efficiency and quality of daily optimization processes; Full Stack Development experience needed.
Required/Basic Qualifications
  • Bachelors degree in Engineering, Computer Science, Accounting or Finance
  • 4 years related work experience
  • In lieu of Bachelors degree(s) AND 4 year(s) related work experience listed above, High School/GED AND 10 year(s) related work experience
Desired Qualifications
  • Masters degree in Accounting, Finance, Engineering, Computer Science or Business Administration
  • Professional Engineer
  • Experience developing and maintaining code with Java, C#, or similar object-oriented programming language (required)
  • Experience with data management, data warehousing, data querying and use of databases (SQL, Oracle, SQL Server, etc) required
  • Experience developing web applications (such as Blazor, Angular or React).
  • Experience developing and maintaining Desktop Applications.
  • Experience in short term (load, wind and/or solar generation) forecasting utilizing neural networks, AI and model optimization techniques. (Electric utility industry experience or ISO/RTO experience preferred)
  • Knowledge of EMS and SCADA data acquisition functions and PI Historian archiving processes strongly desired.
  • Artificial Intelligence, Machine Learning or Deep Learning model experience
  • Experience with production cost modeling or other optimization modeling.
    • General knowledge of power plant operations, generation dispatch, or power trading operations
    • Quality-oriented self-starter who is supportive of team objectives.
    • Experience troubleshooting software application problems in a support role.
    • Ability to present information on technically complex subjects in an understandable manner in both oral and written form to define requirements for enhancements and test changes with business clients.
    • Ability to display maturity in approach, effectively handling challenges and absorbing change, and continuing with positive results.
    • Experience with Software or Hardware systems a plus
Working Conditions
  • Hybrid Mobility Classification - Work will be performed from both remote and onsite locations after the onboarding period. However, hybrid employees should live within a reasonable daily commute to a Duke Energy facility.
  • Hybrid work environment and candidate is expected to have a reasonable commute to Charlotte, NC.

Travel Requirements

5-15% Relocation Assistance Provided (as applicable)No Represented/Union PositionNo Visa Sponsored PositionNo

Posting Expiration Date

Wednesday, November 27, 2024

All job postings expire at 12:01 AM on the posting expiration date.

Please note that in order to be considered for this position, you must possess all of the basic/required qualifications.

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