Intraday Power Quant Trader

Inductive Energy A/S

Aarhus kommune

Vor Ort

DKK 900.000 - 1.200.000

Vollzeit

Vor 8 Tagen
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Benefits dieser Stelle

Modern office in Katrinebjerg, Aarhus

Zusammenfassung

Inductive Energy A/S in Aarhus seeks a Quantitative Trader to join the intraday power trading team. You will develop, test, and refine strategies using market data, models, and live trading signals to influence P&L.

The role combines strong quantitative skills with commercial judgment, requiring Python and SQL proficiency, experience in power trading, backtesting, and working with large time series datasets.

Qualifikationen

  • Experience in power trading, ideally European intraday markets.
  • Strong quantitative background in mathematics, physics, engineering, economics, or CS.
  • Proficiency in Python and SQL; PostgreSQL experience is a plus.
  • Experience with modelling, forecasting, backtesting, and data-driven trading strategies.
  • Comfort with high-volume, time-dependent data and robust live trading performance.

Aufgaben

  • 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.
  • Collaborate with traders to translate insights into practical decisions.
  • Contribute to the ongoing development of trading systems and infrastructure.

Kenntnisse

Power trading
Python
SQL
Backtesting
Data analysis
Independence

Ausbildung

Bachelor's degree in a quantitative field

Tools

PostgreSQL

Jobbeschreibung

Inductive Energy A/S in Aarhus seeks a Quantitative Trader to join the intraday power trading team. You will develop, test, and refine strategies using market data, models, and live trading signals to influence P&L.

The role combines strong quantitative skills with commercial judgment, requiring Python and SQL proficiency, experience in power trading, backtesting, and working with large time series datasets.

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