Power Markets Quant Analyst — Trading Analytics

ENZEE Commodities A/S

Denmark

On-site

DKK 700,000 - 1,000,000

Full time

1 hour ago
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Benefits offered by this job

Competitive compensation package
Modern office in Aarhus

Job summary

ENZEE Commodities A/S seeks a Quantitative Analyst to join a fast-paced, data-driven trading team in Aarhus. You will apply quantitative methods, modelling, and risk thinking to inform disciplined trading decisions and drive profitability.

You will work with Python to transform analysis into actionable insights, develop dashboards, and back-test trading models while collaborating with colleagues to refine strategies and tooling. A modern Aarhus office awaits with growth opportunities.

Qualifications

  • Bachelor's or Master's degree in mathematics-economics, economics, statistics, engineering or another quantitative field.
  • Strong quantitative and analytical skills to translate data into trading insights.
  • Proficiency in Python; other languages are an advantage.

Responsibilities

  • Market analysis of power markets to uncover trading opportunities and support decisions.
  • Implement risk management practices by monitoring exposure and stress testing.
  • Develop and maintain real-time monitoring and reporting tools and dashboards.
  • Back-test trading models and improve models based on data insights.
  • Collaborate with the team to enhance trading strategies and technical setups.
  • Support and execute trading decisions that meet risk and performance standards.

Skills

Python
Quantitative analysis
Data modelling
Trading concepts
Communication

Education

Bachelor's or Master's in a quantitative field

Tools

Pandas
NumPy

Job description

ENZEE Commodities A/S seeks a Quantitative Analyst to join a fast-paced, data-driven trading team in Aarhus. You will apply quantitative methods, modelling, and risk thinking to inform disciplined trading decisions and drive profitability.

You will work with Python to transform analysis into actionable insights, develop dashboards, and back-test trading models while collaborating with colleagues to refine strategies and tooling. A modern Aarhus office awaits with growth opportunities.

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