Quantitative Analyst

This is an exciting position because it is positioned in the front office. It allows collaboration with the traders and the colleagues within the Analysis Team. Furthermore, we are constantly in communication with all other parts of Eneco Energy Trade (Risk, Portfolio Optimization, etc.). This will allow you to see how one of the main energy players in the Netherlands operates, and to be part of the energy transition. Everyone is always open to help and assist you in modelling all subtleties of energy markets and trading.

The commodity markets around us are changing rapidly and the impact of the energy transition is becoming increasingly visible. We follow these changes closely and reflect them in our modelling. You will have the chance to work on a diverse set of quantitative models and decision support tools in order to contribute to the desk’s analytical excellence and its commercial success. You will be maintaining and constantly improving our existing models, and also building new ones. That is definitely a great opportunity to get your hands dirty with state-of-the-art tools.

You bring:

• A degree (MSc or PhD) in a quantitative field (financial mathematics, financial engineering, econometrics, statistics, machine learning or other).
• At least 3+ years of relevant experience to be considered for the medior position. More senior candidates will also be considered.
• Knowledge of quantitative finance is a must.
• Proven experience in analyzing data and building quantitative models.
• Excellent programming skills and knowledge about modern code deployment techniques. Python is the main language of development.
• Knowledge of different machine learning techniques is an advantage.
• Experience in the energy sector can be a substantial advantage.
• Pro-activeness in exploring new trade ideas and improving existing models and processes.
• Your approach is analytical but also hands-on and pragmatic.
• Energy Trade is a very dynamic environment. Targets change frequently based on market or business opportunities. A candidate should be flexible and focused at the same time.

• You will have direct impact on trading decisions and strategies and work closely with our traders. This can include both discretionary and systematic trading strategies.
• You will work on topics related to option valuation and hedging.
• You will be involved in other related quantitative modelling topics such as forward curves, Monte Carlo simulation engines, quantifying market risk of our trading portfolio, etc.
• You will use “classical” financial mathematics methods, but also explore machine learning techniques.
• Quantitative software development will be an important part of your work. We develop, review and test our quantitative tools. You will gain experience in all stages of software development and be a driver in using modern tools, such as Azure DevOps, AirFlow, Snowflake and others.
• You will automate different models and drive the automation trading processes.

You will be part of the Trade Analysis Team within Asset Backed Trading LT. We provide the main analytical capabilities within the trading desk. The team consists of colleagues with various educational backgrounds (mathematics, econometrics, meteorology and others) and areas of expertise. The different team members have a wide spectrum of expertise from quantitative finance to market analysis and meteorology. You will work on some projects closely with other team members and/or with traders. We are always open to share knowledge and constantly improve as a team.