Quantitative analyst for Short-term Automated Trading

Danske Commodities; Denmark; On-site; DKK 800,000 - 1,200,000; Full time

Benefits offered by this job

Flexible work life

Home setup covered

Top-tier parental leave

Unlimited paid child's sick days

New HQ in Aarhus

Job summary

Danske Commodities seeks a highly skilled quantitative ML engineer to design and deploy machine learning driven trading strategies. You will work with Python to transform large datasets into actionable signals and predictive models, while continuously improving models, infrastructure, and research processes.

Collaboration with traders and analysts is essential to translate market insights into scalable quantitative solutions.

Qualifications

• Hold an MSc or PhD in data science, computer science, mathematics, physics, or a related field.
• Advanced Python developer with experience building production-quality code.
• Extensive experience with ML techniques and frameworks (PyTorch, Scikit-learn).
• Keep up with the latest ML/deep learning innovations and translate cutting-edge research into practical solutions.

Responsibilities

• Design, develop, and deploy ML-driven trading strategies using Python.
• Transform large-scale and high-dimensional datasets into actionable trading signals and predictive models.
• Continuously improve existing models, infrastructure, and research processes to maintain a competitive edge.
• Collaborate closely with traders and analysts to translate market insights into scalable quantitative solutions.
• Take ownership of bringing new ideas into production.

Skills

Python

Machine Learning

Deep Learning

Education

MSc/PhD in data science or related field

Tools

PyTorch

Scikit-learn

Job description

Quote

You will combine quantitative research, machine learning, and software engineering to uncover market inefficiencies and turn them into profitable trading strategies.

Here’s what the job entails

In the role, you will tackle challenging quantitative problems and develop fully automated, machine learning-driven trading strategies that operate 24/7 and have a direct impact on trading performance.

Your key responsibilities include:

• designing, developing, and deploying machine learning-driven trading strategies using Python and modern machine learning/deep learning frameworks


• transforming large-scale and high-dimensional datasets into actionable trading signals and predictive models


• continuously improving existing models, infrastructure, and research processes to maintain a competitive edge


• collaborating closely with traders and analysts to translate market insights into scalable quantitative solutions


• staying at the forefront of developments in machine learning, deep learning, and quantitative finance, and taking full ownership of bringing new ideas into production

Meet your team

You will join our Short-term Automated Trading team, where we develop and operate algorithmic trading strategies in the European electricity markets by applying advanced quantitative methods, machine learning, and automation to make better trading decisions.

We are a team of highly motivated specialists with backgrounds in quantitative finance, mathematics, physics, computer science, and machine learning. We challenge each other's thinking, move quickly from idea to implementation, and share an ambition to build better models and make better trading decisions. We value intellectual curiosity, honest feedback, and rigorous thinking.

But enough about us over to you!

You’ll work deeply with quantitative modelling and machine learning in a fast-moving domain, so you enjoy tackling complex quantitative challenges and turning ideas into measurable outcomes. You are driven by ownership, excellence, and the opportunity to collaborate with highly skilled colleagues.

We also imagine that you:

• hold an MSc or PhD in data science, computer science, mathematics, physics, or a related field


• are an advanced Python developer with experience building robust, production-quality code


• have extensive experience with machine learning techniques and frameworks (e.g. PyTorch, Scikit-learn)


• keep up with the latest innovation in machine learning and deep learning, and enjoy turning cutting-
  ed research into practical solutions that deliver measurable value

Please note that prior knowledge of the energy sector is not required for this role. We welcome various levels of experience from a highly analytical environment and will tailor the role to your profile.

We’ll take good care of you

At Danske Commodities, we take great care of our people. Joining us means you’ll get a lot of great perks – including social events, cultural experiences, tasty food and benefits to better your health, your life and your future.

Here are some of the benefits we offer our employees:

Shape your developmenttailored growth plans, 100+ DC University courses & Harvard Learning access

100+ yearly eventsfrom office parties to DC Sports events, CS:GO team, student network & more

Global career pathsas part of our parent company, Equinor’s 20,000-strong international network

Flexible work lifeadjustable hours, part-time options & up to 2 work from home days/week

Fuel Fridays one paid Friday off every month (July and December excluded)

Top-tier parental leaveup to 26 weeks paid, pension during leave & post-leave support

Unlimited paid child's sick days because family comes first

Extra time off5 additional days on top of your 5 weeks

Senior days extra time off if you’re 55+

Attractive package10% pension, health insurance, bonus scheme & more

Share savings the option to join Equinor’s attractive share programme

Home setup covered paid internet, phone & IT gear

Free tickets & discountsculture, family fun, hotels, restaurants & more

Organic meals light breakfast, lunch, snacks, dinner & take-away

Barista caféhigh-quality coffee, always on us

On-site wellnessstate-of-the-art gym, physio, chiro and massage therapy

New HQ in the heart of Aarhuswith stunning views, inspiring architecture and close to public transport

and much more