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10 дней назад

Power Analyst (Energy Trading)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Power Analyst (Energy Trading): Analyzing electricity supply, demand, transmission, price, and topology data to improve power-grid modeling and inform energy forecasts with an accent on fundamental market analysis and geographic patterns. Focus on maintaining standardized datasets, comparing electricity topologies, and identifying divergences between nodal costs and payoffs.

Location: Bala Cynwyd (Philadelphia Area), Pennsylvania, United States

Company

hirify.global is a quantitative trading firm using scientific research, advanced technology, machine learning, and quantitative analysis to develop systematic trading strategies.

What you will do

  • Maintain internal data systems for historical and forecasted electricity supply, demand, and transmission data.
  • Analyze historical transmission and price data using power mapping software.
  • Identify geographic patterns in data to support energy forecasting.
  • Compare electricity topologies to identify potential divergence between nodal costs and payoffs.
  • Use data analysis to improve power-grid modeling and inform business decisions.

Requirements

  • 0–2 years of professional experience.
  • Bachelor’s degree required; Electrical Engineering or a related discipline preferred.
  • Ability to begin full-time employment by August 2026 or earlier.
  • Strong attention to detail, including data entry and mapping.
  • Creative problem-solving, intellectual curiosity about electricity markets, strong communication skills, and the ability to work both collaboratively and autonomously.

Nice to have

  • Experience with VBA, SQL, or scripting such as Python.

Culture & Benefits

  • Intellectually driven and highly collaborative working environment.
  • Collaboration among researchers, engineers, and traders.
  • Flexible start timing.
  • Exposure to quantitative research, machine learning, and large datasets in a systematic trading environment.

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