Algorithmic Energy Trading Analyst

Talentedge; København; On-site; DKK 550,000 - 850,000; Full time

Job summary

Talentedge is seeking an Energy Analyst to join its Energy Operations team in Copenhagen. The role involves developing new trading strategies and maintaining algorithmic systems in a fast-paced environment.

You will work across the full algorithm lifecycle—from development and calibration to backtesting, implementation, validation and ongoing optimisation. Strong Python skills and a quantitative mindset are essential.

Qualifications

• 2/3+ years of relevant professional experience, ideally within energy trading or financial markets.
• Strong Python skills are essential.
• Experience with quantitative or data-driven trading approaches.
• Structured and detail-oriented with a high level of accuracy.

Responsibilities

• Developing and improving quantitative trading strategies.
• Supporting calibration, backtesting and live implementation of algorithms.
• Monitoring algorithm and system performance and identifying areas for optimisation.
• Reviewing trading positions and overall exposure, making adjustments where appropriate.
• Analyzing market and fundamental data to support trading decisions.
• Working with large datasets and applying analytical techniques to identify opportunities and risks.
• Collaborating closely with Quant, Technology and other teams across the business.
• Contributing to the smooth operation of the trading desk on a day-to-day basis.

Skills

Analytical skills

Numerical skills

Independent worker

Education

Degree in Economics, Finance, Mathematics or other quantitative discipline

Tools

Python

SQL

Job description

Talentedge is seeking an Energy Analyst to join its Energy Operations team in Copenhagen. The role involves developing new trading strategies and maintaining algorithmic systems in a fast-paced environment.

You will work across the full algorithm lifecycle—from development and calibration to backtesting, implementation, validation and ongoing optimisation. Strong Python skills and a quantitative mindset are essential.