Quantitative Trader

Danske Commodities

. Generate and test new trading ideas across gas and power forwards .

Posted 11/2/2026full-timeAarhus • DenmarkMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analysis, machine learning, and financial markets, with a strong ability to develop and implement trading strategies. Proficient in Python for production-ready coding and managing PnL and risk in trading environments.

Highest-signal resume keywords

MSc Or PhD In Quantitative FieldMachine LearningPython ProgrammingQuantitative AnalysisTrading Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative ModellingApplied StatisticsAutomated Trading StrategiesMarket Mispricing IdentificationPosition SizingPerformance MonitoringSignal DevelopmentRisk ManagementData ExplorationProduction-Ready Code

Soft Skills

Commercial JudgementCollaborationMotivationOpen CommunicationCritical Thinking

Industry Keywords

Financial MarketsForwardsFuturesCurvesSpreadsAlpha GenerationTrading StrategiesPnL ManagementRisk And ReturnEnergy Sector

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Generate and test new trading ideas across gas and power forwards
Identify market mispricing
Develop signals and models using machine learning and advanced quantitative modelling
Take promising signals and models into production
Run automated strategies in the market
Manage position sizing and execution setup
Monitor ongoing performance
Own the PnL and risk of strategies within the mandate
Scale successful strategies and shut down unsuccessful ones
Collaborate with traders, analysts and engineers to develop robust, scalable strategies
Explore new data, products and methods to find new sources of alpha

Requirements

What you’ll need

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
Solid foundation in applied statistics and machine learning
Sound commercial judgement
Ability to write clean, production-ready code in Python
Experience with real PnL, for example from trading, a proprietary trading environment, a research desk or a serious personal project
4+ years of relevant experience from trading, quantitative research or a similar environment
Quantitative analysis and commercial judgement
Motivation to take ideas from hypothesis to live trading
Ability to challenge ideas, discuss trading decisions and openly share results
Prior knowledge of the energy sector is not required

Benefits

Comp & perks

Tailored growth plans
100+ DC University courses
Harvard Learning access
100+ yearly events, including office parties and DC Sports events
Global career paths through Equinor’s international network
Flexible work life with adjustable hours
Part-time options
Up to 2 work-from-home days per week
Fuel Fridays: one paid Friday off every month, excluding July and December
Up to 26 weeks of paid parental leave
Pension during parental leave
Post-leave support
Unlimited paid child’s sick days
5 additional days off on top of 5 weeks
Senior days: extra time off for employees aged 55+
10% pension
Health insurance
Bonus scheme
Option to join Equinor’s share programme
Paid internet, phone and IT gear
Free tickets and discounts for culture, family fun, hotels and restaurants
Organic meals including breakfast, lunch, snacks, dinner and takeaway
On-site barista café
On-site gym, physiotherapy, chiropractic and massage therapy
HQ in the heart of Aarhus, close to public transport