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About the Role

YUSO is seeking a Quantitative Analyst to leverage mathematical intellect and analytical mindset to accelerate the energy transition. You will integrate renewable energy and large-scale battery systems into power markets using mathematical modeling, including Machine Learning and AI. This role involves researching, developing, and operating the algorithmic trading stack for asset-backed trading activities, focusing on battery energy storage systems and other flexibility sources.

Responsibilities

Research and develop asset-backed trading strategies, optimizing dynamical systems under complex physical constraints.
Optimize batteries across multiple markets and revenue streams, including ancillary services, wholesale markets, and the imbalance mechanism.
Gain a deep understanding of the in-house algorithmic trading framework (Python on AWS) for developing, implementing, and maintaining trading strategies and energy management systems.
Build and run backtesting and parameter-optimization pipelines to tune strategies.
Support business development with revenue simulations and financial modeling for large-scale battery and hybrid projects.
Benchmark and improve asset performance post-operation, collaborating with the Trading & Portfolio Management team.
Apply and adapt existing proprietary algorithms to new markets and environments.
Leverage knowledge of mathematics, statistical methods, Machine Learning, and/or AI to improve forecasting models.
Monitor, manage, and improve existing models by fine-tuning them to new markets or changing market conditions.
Analyze time series data across energy markets using statistical and applied mathematical methods.
Write internal reports and give presentations summarizing methods, results, and performance.
Maintain a self-critical yet convincing attitude towards colleagues and clients.

Requirements

Master’s degree in mathematics, physics, computer science, engineering, or an equivalent scientific/statistical/econometric discipline.
Comfortable with mathematical modeling and computational techniques, including conventional optimization and Machine Learning models.
Knowledge of or interest in trading or optimization in power or financial markets.
Experience in statistical or mathematical modeling and data analysis.
Python experience is a must.
Excellent communication skills with the ability to influence and persuade.
Team player with a self-driven, research-oriented mindset.
Working proficiency in English is required.

Skills

Mathematical modeling
Computational techniques
Optimization
Machine Learning
Artificial Intelligence
Python
NumPy
Pandas
Scikit-Learn
SQL/MySQL
Git
AWS
Statistical methods
Data analysis
Time series analysis

Location

Waregem, Belgium

Work Type

Remote
Hybrid
Full-time

Experience Level

Not specified

Education Level

Master’s degree

Salary/Compensations

Market competitive remuneration with a variable part linked to team performance.

Benefits

Group insurance
Health insurance
Meal vouchers
Eco vouchers
IT equipment supporting remote work
Home-office compensation
Mobile plan

About the Company

YUSO is an innovative participant in the energy market, supplying 100% green energy and offering battery storage solutions to boost the energy transition.
The company integrates renewable energy sources like wind and solar into energy markets and assists in maintaining the balance of the electricity grid.
YUSO's expertise is centered around battery storage projects, power markets, and dynamic supply solutions to accelerate the transition to a decarbonized energy system.
The company fully focuses on innovation and automation, seeking efficient, durable, and effective solutions with transparency as a key criterion.
YUSO operates an active and growing flex portfolio in Belgium, the Netherlands, Great Britain, and the Baltics, and is expanding into new market areas.

Equal Opportunity

Not specified