Quantitative Analyst - Area Flex Optimisation

YUSO is an innovative participant in the energy market.  We supply 100% green energy and offer battery storage solutions to our customers in order to boost the energy transition.  We integrate renewable energy sources such as wind and solar into the existing energy markets and assist in maintaining the balance of the electricity grid at the same time.

YUSO’s expertise is centered around battery storage projects, power markets, and dynamic supply solutions intended to accelerate the transition to a decarbonized energy system. Our expertise is allocated to our clients for the full 100%, 24 hours a day.

YUSO fully focuses on innovation and automation in its activities.  We always seek for the most efficient, durable and effective solutions, transparency being our most important criterion.  To support our strong growth, we are currently looking for a Quantitative Analyst.

Quantitative Analyst  /  Area Flex Optimisation

YUSO is looking to recruit an additional team member who is looking for an opportunity to leverage their mathematical intellect and analytical mindset to accelerate the energy transition. You will help YUSO by integrating renewable energy and large-scale battery systems into the power markets using mathematical modelling in all its forms; ranging from conventional optimization techniques towards more sophisticated Machine Learning and Artificial Intelligence. YUSO encourages you to think outside of the box and bring your own expertise to a very wide range of modelling problems that exist within the world of energy.

For this role we are looking for someone to help support YUSO in its asset backed trading activities. There will be a large focus on large, utility scale battery systems and other types of flexibility. Currently YUSO already has an active flex portfolio in BE, NL and the UK, and is looking to expand to new market areas as well as ramping up our existing activities. As the markets are getting increasingly complex and competitive, we need someone to support us to research, develop and continuously improve asset backed trading strategies in the market. You will also be responsible for implementation of these strategies and therefore will get into direct contact with the markets. You will work together with other Quants but also have a strong interaction with the Trading & Portfolio Management Team.

Responsibilities

• Research & develop asset backed trading strategies. This constitutes optimization of dynamical systems with complex physical constraints.

• Optimize batteries across multiple markets, with a focus on ancillary services (aFRR, FCR, mFRR) and wholesale trading (Day-Ahead, Intraday and imbalance mechanism).

• Gain a deep understanding of our algorithmic trading framework to enable the development, implementation and maintenance of operational trading strategies.

• Support business development and financial simulations of large-scale battery projects.

• Benchmark and improve project performance once operational. Work closely together with the Trading & Portfolio Management Team to maximize asset performance.

• Have a good understanding of relevant existing proprietary algorithms within YUSO so you can apply these in new environments.

• Leverage your knowledge in mathematics, statistical methods, Machine Learning and/or AI to accelerate the inhouse forecasting models of YUSO, ranging from predicting what happens to our own portfolio to predicting the behaviour and dynamics of the entire energy market

• Monitor, manage and improve on existing models by fine-tuning them to new markets or market conditions

• Analyse time series data across a range of energy markets using a variety of statistical and applied mathematical methods

• Write internal reports and give presentations summarising methods, results and performance, with focus on the latter

• Maintain a self-critical yet convincing attitude towards your colleagues and clients

Requirements

• Masters in mathematics, physics, computer science or equivalent scientific / statistical / mathematical / engineering / econometric discipline

• Comfortable with mathematical modelling and computational techniques ranging from conventional algorithms to more sophisticated Machine Learning models

• Knowledge and/or interest in trading or optimization in financial markets

• Experience in  statistical or mathematical modelling and data analysis

• Experience with Python is a must. Knowledge of NumPy, Pandas, Scikit-Learn and other ML libraries is a plus. Knowledge of other languages is a plus.

• Experience and/or knowledge of MySQL and databases is a plus.

• Experience with Git is a plus.

• Experience with AWS is a plus.

• Experience in energy markets through your education or past employment is a plus

• Knowledge and/or interest in meteorology is a plus. 

• Excellent communication skills with the ability to influence and persuade

• Working proficiency in English is required.

• Team player

Our offering

You will join a team of dynamic and young professionals, passionate about the integration of renewable energy flows into the energy markets YUSO is active in. This job opening includes remote work and/or working from the YUSO offices in Waregem, Belgium. Our office space is one of the best equipped working environments for energy market activities, offering a multitude of multimedia to connect with other colleagues remotely.  As a company, YUSO focuses on the well-being of its employees and the team-spirit as a whole!

Our remuneration is market competitive and offers extra benefits like group- and health-insurance, meal and eco vouchers, IT-equipment supporting remote work, home-office compensation and a mobile plan. It also includes a variable part linked to the performance of the team.

Applications are accepted as an application letter with your CV attached

E: hr@yuso.be

Or via the below application form: