Quantitative Trader - Green Energy Markets & Algorithms

In Commodities US LLC; Aarhus kommune; On-site; DKK 700,000 - 1,000,000; Full time

Job summary

InCommodities Asset Management in Aarhus is seeking a Quantitative Trader to join our growing trading team. You will contribute to daily operations, trade and optimize our renewable assets portfolio, and help push the green transition forward with data-driven strategies.

Ideal candidates have up to 2 years of experience in trading or related fields, a Finance/Economics background, and basic Python coding skills. Fluency in English is required and relocation to Aarhus is welcome.

Qualifications

• 0-2 years of professional experience in trading or related fields.
• Background in Finance, Economics, or related field.
• Competitive mindset, ready to perform, learn quickly, and take responsibility.
• Interest in data analysis and predictive modelling.
• Basic coding knowledge, preferably in Python.
• Fluent in English, both written and verbal.
• Based in or willing to relocate to Aarhus, Denmark.

Responsibilities

• Drive profitability by executing day-ahead and intraday trading strategies.
• Trade and optimize the renewables portfolio around the clock.
• Develop and improve trading algorithms and assess risks.
• Grow the trading desk across products, technologies and geographies.
• Collaborate with the team to strengthen market position.

Skills

Data analysis

Predictive modelling

English proficiency

Education

Finance/Economics degree

Tools

Python

Job description

InCommodities Asset Management in Aarhus is seeking a Quantitative Trader to join our growing trading team. You will contribute to daily operations, trade and optimize our renewable assets portfolio, and help push the green transition forward with data-driven strategies.

Ideal candidates have up to 2 years of experience in trading or related fields, a Finance/Economics background, and basic Python coding skills. Fluency in English is required and relocation to Aarhus is welcome.