Quantitative analyst for Short-term Power Trading

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Join a leading analysis team in short-term power trading and support the development of quantitative strategies for proprietary trading and asset optimisation.

Here’s what the job entails

In this role, you will help optimise our trading performance by developing quantitative models that impact the decision-making process across our trading teams.

More specifically, your responsibilities include

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developing and enhancing quantitative models to drive trading decisions

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taking active part in coding algorithmic trading infrastructure and optimisation engines used for live trading

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conducting market research and strategy analysis aimed at improving overall PnL and operational robustness

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collaborating with team members to ensure the operational stability of algorithms and tools developed by the team

Meet your team

As our new quantitative analyst, you will join our Intraday Analysis team, where we support the trading and asset optimisation teams by building quantitative models and trading tools. Our primary area of responsibility is to develop strategies, trading tools, and quantitative models that enable decision-making for our proprietary trading and asset business.

We are a team of 6 specialists in energy trading with backgrounds in economics and mathematics. We are a curious, dedicated, and highly analytical team who always strive to improve processes, systems, and strategies to fine-tune the infrastructural engine of our power trading business.

But enough about us… over to you!

As you will be developing models and analyses used for decision-making, we are looking for someone who has a data-driven approach and an eye for market risks while also evaluating other factors in your analyses. Also, as we operate in an ever-changing market, we see you as someone who thrives in a dynamic environment and can quickly adapt to market conditions.

We also imagine that you

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have an educational background in a quantitative field, for example, economics, mathematics, physics, statistics, data science, or engineering

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have experience in a similar position, either in the energy industry, the financial markets or similar

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have solid coding skills with the ability to write production-level Python code

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have great communication skills as you should be able to explain your analyses to stakeholders who do not have the same insights as our team

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are proficient in English - both written and verbal

Please note that prior knowledge of the energy sector is not required for this role.

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 development tailored growth plans, 100+ DC University courses & Harvard Learning access

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

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

Flexible work life adjustable 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 leave up to 26 weeks paid, pension during leave & post-leave support

Unlimited paid child's sick days because family comes first

Extra time off 5 additional days on top of your 5 weeks

Senior days extra time off if you’re 55+

Attractive package 10% 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 & discounts culture, family fun, hotels, restaurants & more

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

Barista café high-quality coffee, always on us

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

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

…. and much more