Department

The Analytics department of PZEM models the energy markets and forms the “competitive back-bone” of the wholesale division. The importance of analytical competences and advanced quantitative methods has significantly increased during the last years due to the increasing complexity of markets, assets and products. At the same time the use of bigdata, machine learning and artificial intelligence have become increasingly important within the Analytics landscape to do forecasting, optimize assets and price complicated products.

Key tasks and responsibilities of the Quant team

  • Modelling and simulating energy and commodity prices and price curves and the underlying price drivers (such as demand, supply and weather (sun, wind, temperature, etc.)) used, among other things for:
    • The creation of curves used in the MtM determination of trading books.
    • Input for Market Analysis.
    • Input for pricing models used by Structuring and Origination.
    • The optimization of assets or the valuation of potential assets.
  • Developing software to automate models and tools using advanced programming techniques and cloud computing.
  • Developing and maintaining Pricing Models for the pricing of Electricity contracts, Gas contracts and Wind and Solar PPAs.
  • Developing and maintaining Asset Valuation Models that make use of internal fundamental stochastic price simulation models.
  • Developing and maintaining forecasting modes for the entire trading horizon (Imbalance, Intraday, DA, Monthly, Quarterly and Yearly contracts).
  • Developing machine learning models to be used in different tasks and departments, such us:
    • Post processing of DA price forecasting signals.
    • Load forecasting models
    • Classification model and error detection models
    • Wind and/or solar power forecasting models
  • Responsible for the dissemination, visualization and correct usage of the outputs of the Analytics models by other departments.
  • Producing price Analysis based on the result of proprietary Fundamental, Econometric or Machine Learning models.
  • Producing trade advice for the different trading horizons. Process and organize trade advice so as to observe the risk/return profile of a trade, its correlation with other trades other metrics using Power BI as a GUI.
  • Performing Strategic Analysis based on the results of long term models. Using the latter to prepare Position Papers, advise the RvB or other departments.

Your new work environment

At PZEM you work hybrid. This can be done from home or at our office at the Poelendaelesingel in Middelburg.
Our office is equipped with all facilities. We have various coffee corners, sitting areas and areas where you can isolate yourself for a while.
PZEM is located almost in the heart of Middelburg. During your break you can approach the center within walking distance where various supermarkets, sandwich shops and other shops are located.
Within PZEM, various departments work closely together to achieve the best result for our customers and partners.
In between or during your break you can enjoy a diverse range of coffee or tea in one of our coffee corners. Or get a sandwich, soup of fruit in the canteen.

What do we expect from you?

Qualifications, or working and intellectual level:

  • Master’s degree in Computer Science/Mathematics/Machine Learning/ Econometrics or similar
  • Fluent in English, Dutch is an advantage.
  • Main software tools used Eviews, Matlab, Excel, GEN, Python, Power BI, and cloud tools such as ADF, Databricks and data lake

What do we expect:

  • At least 3 years of experience in the Energy Trading business as a Quant Analyst/Developer, Market Analyst or Structuring Analyst.
  • Or at least 3 years of experience as a software/Quant Developer in Finance
  • Essential skills:
    • Ability to apply econometric / mathematical models, methods and techniques.
    • Ability to use (big) data analytics and “machine learning” methods and techniques.
    • Excellent programming skills in Matlab or Python.
    • Proven ability to work on multiple projects and ad-hoc requests at the same time
  • Advantageous skills:
    • Financial portfolio management and financial quantitative methods and techniques.
    • Thorough knowledge of and experience in (quant) software architecture and development.
    • Experience in Matlab cloud, OOP, CI/CD, PowerBI, Microsoft Azure, Databricks.
    • Proven ability to see the bigger picture and able to present this in documentation/presentations
    • Proven ability to mentor and guide others

Competencies:

  • Strong analytical skills
  • Able to work in a structured and precise way
  • Commercial, creative and very results oriented.
  • Know how to put complex matters in a structured and understandable way

What do we have to offer?

Employee benefits

We offer excellent employee benefits, including discount on health insurance, attractive discounts for staff facilities, a Benefit Budget that lets you decide on the allocation of your benefits yourself, and a competitive salary. The position is in salary scale 11, senior candidates that tick a lot of the boxes might be considered for senior position scale 12.

Salary

Scale 11: mininal € 4.476,- gross a month and maximal € 5.967,- gross a month.
Scale 12: Minimal € 5.192,- gross a month and maximal € 6.922,- gross a month.

Location

The place of work is Middelburg

More information?

For more information about this position, please contact Jorim de Boks, Manager Analytics, telephone number +31 6 1365 2378

Applications

When you are interested in this position, please send your application, along with your CV to vacatures@pzem.nl

An assessment can be part of the selection procedure.

Working at PZEM

At PZEM you are given space to develop your talents and competencies. Do you want to invest in our future? Then we also invest in yours! In addition to offering a competitive salary and offering the opportunity to work in beautiful Zeeland, we also have excellent fringe benefits. Curious which these are? Then click on the button below.

Apply now and maybe we'll talk!

Patricia Delivorias

HR Adviseur
088 1346000