Remote Power Market Modeling & Forecasting Specialist

Xodus; Worcester (MA); Hybrid; USD 95,000 - 125,000; Full time

Benefits offered by this job

401(k) matching

Health and dental plans

Flexible spending accounts

Collaborative work environment

Job summary

Daymark Energy Advisors, based in Worcester, MA, seeks a Power Market Simulation/Forecasting Expert to help clients navigate evolving power markets. You will model prices with PLEXOS in zonal and nodal configurations, lead teams, and deliver data-driven insights using Excel and scripting.

Ideal candidates have 3–10 years of experience, strong fundamentals in energy markets, and proficiency in Python or R. The role emphasizes collaboration across our US/Canada advisory team and direct client

Qualifications

• Bachelor's or master's degree in mathematics, economics, engineering, or similar quantitative field.
• 3–10 years' experience operating zonal or nodal market simulation models in PLEXOS/ProMod/EnCompass.
• Familiarity with congestion/curtailment analysis, capacity expansion methods, battery optimization, GIS a plus.

Responsibilities

• Perform power market model-based price forecasts and analyses using PLEXOS in zonal and nodal modes.
• Lead and support teams in market research, data acquisition, model updates, data reporting, and visuals with Excel and scripting.
• Maintain and enhance energy market databases and provide analysis to improve market analytics.
• Oversee projects and collaborate with clients and team members to deliver insights.

Skills

Power market modeling

Team leadership

Excel advanced

Python or R

Client communication

Analytical thinking

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

PLEXOS

ProMod

EnCompass

PLEXOS API/Cloud SDK

Job description

Daymark Energy Advisors, based in Worcester, MA, seeks a Power Market Simulation/Forecasting Expert to help clients navigate evolving power markets. You will model prices with PLEXOS in zonal and nodal configurations, lead teams, and deliver data-driven insights using Excel and scripting.

Ideal candidates have 3–10 years of experience, strong fundamentals in energy markets, and proficiency in Python or R. The role emphasizes collaboration across our US/Canada advisory team and direct client