European energy trading platform with quantitative analytics and real-time market data
Norlys Energy Trading operates a data-driven energy solutions platform serving producers and consumers across Europe in PPAs, route-to-market, and energy certificates. The stack—Python, R, MATLAB, SQL, dbt, Timescale, InfluxDB, BigQuery, Airflow, Looker—reflects a quantitative trading operation built for time-series analysis and automated workflows. Active hiring across data (5 roles) and finance (4 roles) signals scaling of analytics and risk infrastructure to support portfolio management and regulatory surveillance as the energy market volatility increases.
Norlys Energy Trading is a Danish energy solutions provider founded in 2020, headquartered in Aalborg. The company helps producers and consumers navigate volatile energy markets through tailored solutions in power purchase agreements, energy routing, and certificate management. Operations span trading, portfolio risk management, regulatory compliance, and analytics across Northern Europe. The organization is 201–500 employees with active projects focused on quantitative modeling, trade surveillance, real-time operational monitoring, and forecast accuracy—core to energy market execution and compliance.
Core stack includes Python, R, MATLAB, SQL, dbt, Timescale, InfluxDB, BigQuery, Apache Airflow, Looker, and Grafana. Also uses C#, .NET, VBA, and Excel for legacy and trading workflows.
Building quantitative models, expanding analytics team capabilities, developing trade surveillance frameworks, improving forecast accuracy, automating data-driven workflows, and implementing regulatory strategy around new market expectations.
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