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Quantitative Analyst (Power Trading)

ZipRecruiter

London

Hybrid

GBP 40,000 - 80,000

Full time

10 days ago

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Job summary

Join a fast-growing Energy Tech startup as a Quantitative Analyst, where you'll leverage your Python and machine learning skills to optimize energy usage and develop innovative solutions for real-time energy balancing. This role offers the chance to work with a mission-driven team focused on combating climate change and building critical software infrastructure for a decarbonized energy system. If you're passionate about making a real-world impact and thrive in a collaborative environment, this opportunity is perfect for you.

Qualifications

  • Expertise in electricity systems and power trading is essential.
  • Strong commercial instincts and creativity in trading strategies.

Responsibilities

  • Optimize energy usage using Python and machine learning.
  • Develop solutions for real-time energy balancing.

Skills

Python
Machine Learning
Commercial Instincts
Creative Trading Strategies
Problem Solving

Job description

Job Description

Quantitative Analyst | Power Trading

We're hiring a Quantitative Analyst to join a fast-growing Energy Tech startup building critical software infrastructure for a decarbonized energy system. Backed by top global investors, our mission is to shift energy usage to times when electricity is both cheap and green.

The teams cutting-edge platform controls vehicle charging, heating systems, & home batteries, using ML to predict energy demand & optimise real-time consumption across thousands of assets.

Location: London (2/3 days)

Seniority: Junior to Senior Roles

Your Role:

  • Apply Python and machine learning to optimise energy usage
  • Develop new solutions for real-time energy balancing
  • Collaborate with a mission-driven team to build innovative technology

Requirements:

  • Expertise in the electricity system and power trading
  • Strong commercial instincts and a creative approach to trading strategies
  • A passion for real-world impact and combating climate change
  • Comfort with uncertainty and rapid prototyping

Interested? Apply now!

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