Quantitative analyst for Short-term Power Trading
Danske Commodities
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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:
developing and enhancing quantitative models to drive trading decisions
taking active part in coding algorithmic trading infrastructure and optimisation engines used for live trading
conducting market research and strategy analysis aimed at improving overall PnL and operational robustness
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:
have an educational background in a quantitative field, for example, economics, mathematics, physics, statistics, data science, or engineering
have experience in a similar position, either in the energy industry, the financial markets or similar
have solid coding skills with the ability to write production-level Python code
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
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
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