Quant Trader, Short-Term Power Markets (Europe/NA)

Centrica

København

Presencial

DKK 900.000 - 1.200.000

Jornada completa

Hace 9 días

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Descripción de la vacante

Centrica Energy is seeking a Quant Trader in Denmark (Copenhagen or Aalborg) to drive algorithmic trading across short‑term energy markets. You will work on data exploration, research, backtesting, implementation, deployment and monitoring of trading strategies with a high emphasis on performance and risk controls.

The role requires a strong foundation in quantitative modelling, data science, and coding in Python or R, plus excellent English communication.

Formación

  • Master’s degree or higher in mathematics, physics, or a closely related field.
  • Strong data science and/or quantitative modelling skills.
  • Interest in trading with a commercial mindset.
  • Curiosity, creativity, and an innovative spirit.
  • Experience with Python or R.
  • Excellent communication skills in English.
  • Ability to thrive in a collaborative, team‑oriented environment.

Responsabilidades

  • Research, develop, backtest, implement and monitor trading strategies.
  • Explore data and validate ideas for short‑term power markets in Europe and North America.
  • Collaborate with the team to invent and refine algo trading concepts.
  • Develop and maintain tools for algorithmic trading operations.
  • Monitor live trading strategies and optimize performance.

Conocimientos

Data science
Quantitative modelling
Trading
Python
R
English communication

Educación

Master's degree in mathematics/physics or related field

Herramientas

Python
R

Descripción del empleo

Centrica Energy is seeking a Quant Trader in Denmark (Copenhagen or Aalborg) to drive algorithmic trading across short‑term energy markets. You will work on data exploration, research, backtesting, implementation, deployment and monitoring of trading strategies with a high emphasis on performance and risk controls.

The role requires a strong foundation in quantitative modelling, data science, and coding in Python or R, plus excellent English communication.

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