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Help expand the world-class trading engine at Reel. The role involves developing automated trading strategies to manage risk and generate sustainable P&L, focusing initially on the German power market and supporting expansion into new markets. The trading engine operates 24/7, 365 days a year, fully automated with no human in the loop.
Job Responsibility:
Take ownership of implementing new trading strategies and improving existing ones
Develop a deep understanding of the German power market and translate that into improvements to trading algorithms
Write production-grade code and analyze data to identify patterns and opportunities
Work closely with machine learning engineers, software engineers, and originators
Support the commercial team with technical insights to help win new deals
Requirements:
Proficient Python programmer with at least 3 years of professional Python experience
Experience deploying code to production in real-world systems
Quantitative background (engineering, mathematics, physics, computer science, or another STEM discipline)
Comfortable with statistics and probability
Strong interest in energy markets or excitement to dive into them
Experience in a quantitative trading role, ideally in short-term power markets (preferred but not mandatory)
Nice to have:
Good sense of humor
Nerd about something (e.g., energy markets, beer brewing, hiking, sports, computers, board games)
What we offer:
Attractive compensation package consisting of a healthy base salary + warrant programme
30 days (5 weeks + 1) of paid holidays
Employer-supported pension scheme, including health insurance program
Generous parental leave policy
IT setup budget of 25,000 DKK
Vibrant office-first culture in Central Copenhagen with a flexible remote work policy