Quantitative Trader (Energy)

Location: Aarhus, Denmark; flexible work with up to 2 work-from-home days per week. Relocation support is available for international candidates.

Company

hirify.global trades energy across 40+ markets for energy producers and large-scale consumers as part of Equinor’s international network.

What you will do

• Generate and test trading ideas across gas and power forward markets and identify mispricing.
• Develop signals and models using machine learning and advanced quantitative modelling, taking promising approaches into production.
• Run automated strategies, including position sizing, execution setup, and performance monitoring.
• Own strategy risk and PnL within the mandate, scaling successful approaches and shutting down unsuccessful ones.
• Collaborate with traders, analysts, and engineers to build robust, scalable strategies.
• Explore new data, products, and methods to identify additional sources of alpha.

Requirements

• MSc or PhD in statistics, economics, mathematics, physics, computer science, financial engineering, or a related quantitative field.
• Understanding of financial markets and trading, including forwards and futures, curves and spreads, and risk and return.
• Strong applied statistics and machine learning foundation with sound commercial judgement.
• Ability to write clean, production-ready Python code.
• Experience with real PnL from trading, a proprietary trading environment, a research desk, or a serious personal project.
• 4+ years of relevant experience in trading, quantitative research, or a similar environment; demonstrated expertise may also be considered for candidates early in their careers.
• Ability to combine quantitative analysis with commercial judgement, take ideas from hypothesis to live trading, collaborate, challenge ideas, and share results openly.
• Prior energy-sector knowledge is not required.

Nice to have

• Kaggle profile, GitHub repositories, or similar evidence of demonstrated expertise, especially for candidates early in their careers.

Culture & Benefits

• Flat organisation with an open-door policy, trust, autonomy, and freedom to pursue ideas alongside responsibility for execution.
• Tailored growth plans, 100+ DC University courses, and Harvard Learning access.
• Flexible hours, part-time options, home working, and relocation support for international candidates.
• 10% pension, health insurance, bonus scheme, paid parental leave, paid child sick days, and additional time off.
• Monthly paid Fuel Fridays, wellness facilities, meals, social events, and cultural and family discounts.
• Paid internet, phone, and IT equipment for home setup.

Hiring process

• Candidates are screened on an ongoing basis until the 16.11.2026 deadline.
• International candidates may receive reimbursement for travel connected with potential interviews.