Senior Forecasting & Risk Analytics Lead

Midcontinent-Independent-System; Carmel (IN); Presencial; USD 99.000 - 124.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401k

Vacation time

Sick time

Safe time

Descripción de la vacante

Midcontinent Independent System Operator is seeking a Senior Forecast Modeling Analyst to support control room operations with forecast and risk assessments across weather-driven loads, wind and solar generation. You will interpret data and communicate potential impacts to load, wind, solar, outages, and other variables.

The role emphasizes identifying and quantifying risk to inform unit commitment decisions, with an opportunity to develop forecasting methodologies for large and non-conforming

Formación

• Seven or more years of experience evaluating and interpreting data to formulate short and medium-range load forecasts for the bulk electric system.
• Ability to identify risk and quantify uncertainty as it relates to load forecasting and renewable generation resources.
• Bachelor’s in engineering, computer science, information systems, economics, mathematics, or related field.

Responsabilidades

• Provide forecast and risk assessments of weather, load, wind and solar generation to support control room operations and situational awareness.
• Interpret relevant data to determine impact to load, wind, solar, outages, etc.
• Analyze risks or uncertainties and present risks and mitigation plans to management and forecast customers.

Conocimientos

Data interpretation

Load forecasting

Risk quantification

Communication skills

Educación

Engineering

Computer science

Information systems

Economics

Mathematics

Descripción del empleo

Midcontinent Independent System Operator is seeking a Senior Forecast Modeling Analyst to support control room operations with forecast and risk assessments across weather-driven loads, wind and solar generation. You will interpret data and communicate potential impacts to load, wind, solar, outages, and other variables.

The role emphasizes identifying and quantifying risk to inform unit commitment decisions, with an opportunity to develop forecasting methodologies for large and non-conforming