Quantitative Analyst

You will contribute to the commercial success of Eneco’s trading desk by performing best-in-class quantitative modelling related to option valuation, hedging and related risk quantification. These include both individual option structures, but also You will be maintaining and constantly improving our existing models, tools, frameworks and also building new ones. Your will work closely with other Quantitative Trading Analysts and with our traders. Specifically, you will:

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.
•    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.
•    Experience in the energy markets is welcome.
•    Pro-activeness in exploring new trade ideas and improving existing models and processes.
•    Your approach is analytical but also hands-on and pragmatic.
•    The ability to stay focused in a fast-moving environment where priorities shift with the market.

•    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, and others.
•    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, DataBricks, AirFlow, Snowflake, and others. 
•    You will automate different models and drive the automation trading processes.

You’ll join the Trading Analysis Team. This a front-desk analytical team which works alongside traders on our trading desk, which is responsible for trading carbon, gas, and power from day-ahead up to several years ahead, using futures, options and other derivatives. The team provides the analytical backbone of the desk.
Your primary focus will be the European exchange traded carbon markets (EUA, UKA), but you’ll collaborate closely with colleagues covering power and gas. The environment is international, high-paced, and collaborative — bringing together talent from diverse academic and professional backgrounds.