Intraday Power Trader: Turn Data into Live P&L

Inductive Energy A/S; Denmark; On-site; DKK 900,000 - 1,500,000; Full time

Benefits offered by this job

Direct impact

Competitive pay

Modern office Aarhus

Fast feedback loops

Job summary

Inductive Energy A/S in Aarhus is seeking an experienced Quantitative Trader to join the intraday trading team. You will develop, implement, and refine strategies in European intraday power markets, working closely with traders and quantitative colleagues to influence live trading performance.

We expect strong quantitative skills and practical experience in power trading, with a hands-on approach to market data, models, and trading logic.

Qualifications

• Strong quantitative background in mathematics, physics, engineering, economics or computer science.
• Proficiency in Python and SQL; PostgreSQL experience is a plus.
• Professional experience in power trading, ideally in European intraday markets.

Responsibilities

• Develop, test, and improve quantitative trading strategies.
• Turn market hypotheses into signals, models and trading decisions.
• Participate in trading decisions and contribute to real-time P&L.
• Monitor and optimize live trading performance, execution and risk.
• Work with large, real-time and historical datasets (prices, forecasts, flows, weather, fundamentals).
• Identify model weaknesses and improve robustness and performance.
• Collaborate with traders to translate insights into practical decisions.
• Contribute to development of trading systems and infrastructure.

Skills

Python

SQL

Quantitative analysis

Power trading

Tools

PostgreSQL

Job description

Inductive Energy A/S in Aarhus is seeking an experienced Quantitative Trader to join the intraday trading team. You will develop, implement, and refine strategies in European intraday power markets, working closely with traders and quantitative colleagues to influence live trading performance.

We expect strong quantitative skills and practical experience in power trading, with a hands-on approach to market data, models, and trading logic.