Algorithmic Trading Quant – Research to Production

Nitorenergy; Aarhus; On-site; DKK 447,761 - 597,015; Full time

Benefits offered by this job

Competitive salary package

Dynamic work environment

Social activities and team events

Lunch arrangements in-house

Access to new office facilities

Job summary

Nitorenergy in Aarhus is seeking an experienced Quantitative Researcher to develop and enhance algorithmic trading strategies for the energy market. This role involves collaborating closely with traders and developing quantitative solutions that impact trading results directly.

The ideal candidate will have a Master’s or PhD in a quantitative field, with strong programming skills in Python, C++, or C#. Nitorenergy offers a competitive salary and a vibrant workplace culture with ample opportunities for personal and professional growth.

Qualifications

• Master’s or PhD in a quantitative field such as Computer Science, Mathematics, or Physics.
• Experience with algorithmic trading systems and high-performance applications.
• Strong software engineering skills in relevant languages.

Responsibilities

• Design and deploy algorithmic trading strategies in collaboration with traders.
• Backtest and validate strategies for performance assessment.
• Optimize trading performance and reliability.

Skills

Algorithmic trading

Quantitative analytical skills

Software development in Python, C++, C#

Education

Master’s or PhD in a quantitative field

Job description

Nitorenergy in Aarhus is seeking an experienced Quantitative Researcher to develop and enhance algorithmic trading strategies for the energy market. This role involves collaborating closely with traders and developing quantitative solutions that impact trading results directly.

The ideal candidate will have a Master’s or PhD in a quantitative field, with strong programming skills in Python, C++, or C#. Nitorenergy offers a competitive salary and a vibrant workplace culture with ample opportunities for personal and professional growth.