Quantitative Researcher for Gas Trading

Cph Ai Hub; Aarhus; Hybrid; DKK 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive benefits

Opportunity to grow with the company

Chance to become partner

Flat organization

International environment

Job summary

MFT Energy in Aarhus seeks a Quantitative Researcher to join our gas trading team, blending math, coding, and market insight to turn ideas into trading strategies. You’ll collaborate with traders, researchers and engineers in a fast, feedback-driven environment.

You’ll build and backtest models, develop Python-based tools, and translate complex market data into actionable insights. We value curiosity, teamwork and ownership, with opportunities to influence live trading and shape future solutions.

Qualifications

• Strong mathematical and programming skills.
• Experience with energy markets or quantitative trading is a plus.
• Fluent in English.

Responsibilities

• Develop and improve quantitative models and market forecasts that support trading decisions
• Work closely with traders and researchers to identify, analyse and evaluate market opportunities
• Design, develop and maintain Python-based tools and models
• Research, backtest and evaluate trading ideas and strategies
• Transform complex market data into practical insights and actionable solutions
• Use AI tools to speed up development, research and problem-solving
• Continuously improve existing models, systems and processes based on feedback and performance
• Take ownership of your work from initial idea through implementation and ongoing improvement

Skills

Quantitative background

Python programming

Statistical analysis

AI interest

Team collaboration

Education

Mathematics/Physics/Engineering background

Tools

Python

Pandas

Job description

Join a world of energy as MFT Energy’s new Quantitative Researcher

Do you love math, solving complex problems, writing code, and working closely with people who share your ambition? Are you motivated by turning ideas into solutions, testing them in the real world, and seeing the results of your work? Then you might be our new Quantitative Researcher!

The job as Quantitative Researcher

You will be part of our Gas trading team, working closely with traders, researchers and engineers who challenge each other, share knowledge and keep improving their solutions. The team works with short feedback loops and focuses on getting ideas into practice quickly. We also use AI extensively in our daily work, and we expect you to be curious about how modern AI tools can help us work smarter, develop faster and solve more complex problems.

As our new Quantitative Researcher, you will work where quantitative analysis, technology and energy trading meet. You’ll help identify opportunities, develop quantitative models and turn market insights into trading strategies. One day you might be exploring a market opportunity or building a forecasting model. The next, you could be improving data pipelines or building solutions that make our trading more effective.

In this role you will

• Develop and improve quantitative models and market forecasts that support trading decisions
• Work closely with traders and researchers to identify, analyse and evaluate market opportunities
• Design, develop and maintain Python-based tools and models
• Research, backtest and evaluate trading ideas and strategies
• Transform complex market data into practical insights and actionable solutions
• Use AI tools to speed up development, research and problem-solving
• Continuously improve existing models, systems and processes based on feedback and performance
• Take ownership of your work from initial idea through implementation and ongoing improvement

About You

You are self-driven, curious and pragmatic, with the drive to turn ideas into working solutions. You enjoy working with others, exchanging ideas and learning from your colleagues, and you are motivated by seeing your work put into practice. You take ownership of your models from first idea to live trading. Experience with energy markets, quantitative trading or forecasting is an advantage, but your mindset, technical capabilities and willingness to learn matter most to us.

We welcome applications from both recent graduates and experienced professionals, as we value talent, curiosity, and the right mindset over years of experience.

What You Need To Succeed

• A relevant technical or quantitative background, such as mathematics, physics, engineering or a related field
• Strong coding skills and a real passion for technology
• Strong analytical and quantitative problem-solving skills
• A natural curiosity about markets, data and how energy markets work
• You believe the best results come from working together, and you thrive with short feedback loops
• An interest in AI and a willingness to explore new tools and ways of working
• Fluent in English, spoken and written, as our company language is English

Bonus points if you bring

• Experience with energy markets, quantitative trading or forecasting

Working in MFT Energy

At MFT Energy, we combine a startup mindset with the strength of a global organization. We believe in empowering individuals to make data-driven decisions in a fast-paced environment. We are around 200 employees working out of our headquarters in Aarhus C, and from our international offices in Türkiye, Australia, New York, Singapore, Japan, and several remote colleagues working from all over the world.

You can look forward to

• An international and dynamic environment where priorities evolve with the business
• Close collaboration with skilled and ambitious colleagues across trading, research and technology
• The opportunity to see your models and ideas put into practice quickly in live trading
• Competitive benefits and the opportunity to grow with the company
• The chance to one day become partner
• A flat organization where responsibility and initiative are valued
• A culture where we enjoy celebrating both big and small successes - and luckily, we have many reasons to do so

For questions, please contact

Start date: As soon as possible.

We will be screening and interviewing candidates on an ongoing basis.