We would like to expand our team with a Senior Quantitative Developer / DataScientist to work on our energy markets, optimization and financial analytics software. Are you that enthusiastic and experienced senior quant with excellent skills in Python or Matlab? Do you like to work with large datasets and apply machine learning, stochastic modeling and optimization algorithms to real-life cases? And do you like to support our clients and your colleagues with all the challenging questions they may have?
Then send us your CV and motivation letter! This is your chance to make a contribution to an energy world in transition, which requires new solutions to become more sustainable. It will be your role to take the lead and drive the further development of existing tools, develop new tools and analyze the markets to support the commodity trading activities of our clients. Sorry, no agencies please. And also, please confirm that you are an EU- citizen, or eligible to work in the EU.
Our analytical software is based on econometric models and mathematical algorithms. Our customers are mostly large international companies in the energy industry. They operate across Europe and beyond, and use our solutions to make optimal investment decisions, manage price risks, optimize the use of their assets (power plants, energy storage, transport), make optimal trading decisions, and assess future market price scenarios.
We are an international team of 30 people, working on quant model development, mainly using Python for new developments. This position is based in the center of Haarlem, the Netherlands, e.g. 15 minutes by train from Amsterdam.
Tasks Sr Quantitative Developer
You will be:
Developing quantitative solutions in Python and Matlab for pricing, forecasting and risk management.
Solving optimization problems, using new and innovative solutions from various disciplines, including (stochastic) optimization and machine learning.
Maintaining the existing models (in Matlab and Python) and performing quantitative analysis on market data to support the pricing & risk functionality.
Communicating with our clients to explain the use of the KYOS software and explain the underlying methodologies, receive feedback, and translate their feedback into specifications for our software.
Working on client projects as a quantitative consultant, for example assessing investment projects. Making specific analysis with the KYOS software and with other types of analysis to provide a thorough analysis and practical recommendations to the client.
Assisting your fellow quant developers, explaining requirements, helping them to make a plan for development, investigating new methodologies, reviewing and commenting on their work, and having fun together.
Improving your skills for your future career in the fast-moving energy industry.
We expect that you have
A university degree (MSc or PhD) in a quantitative field (econometrics, computer science, mathematics, physics or engineering)
Strong mathematical programming skills, in particular Python or Matlab.
A pragmatic problem-solving attitude and keen to take on new challenges.
Attention to detail and strong focus on accuracy of information.
Good oral and writing skills in English.
Good team working skills, as you will be part of an international team.
A good understanding of financial quantitative modelling in energy markets.
At least 5 years of work experience in financial energy market modelling or similar quantitative field.
A nice international team of colleagues to work with
An entrepreneurial business environment
A full-time position, 32-40 hours/week.
Pleasant office along a canal in the center of Haarlem, 10 minutes’ walk from the railway station.
In your motivation letter, please tell us why you would like to work for KYOS, and what experience and skills you will bring along. You can send your application (CV and motivation letter) to:firstname.lastname@example.org.