Note: The job is a remote job and is open to candidates in USA. YUSO is seeking a Quantitative Analyst to develop and operate algorithmic trading strategies for battery energy storage systems and other flexible assets. The role focuses on mathematical optimization, market analysis, forecasting, backtesting, and improving asset performance in collaboration with the quant and Trading & Portfolio Management teams.
Responsibilities
- Research & develop asset-backed trading strategies. This constitutes optimization of dynamical systems (batteries and other flexible assets) under complex physical constraints
- Optimize batteries across multiple markets and stacked revenue streams: ancillary services (FCR, aFRR, mFRR), wholesale markets (day-ahead, intraday auctions and continuous intraday) and the imbalance mechanism
- Gain a deep understanding of our in-house algorithmic trading framework (Python on AWS, running 24/7) to enable the development, implementation and maintenance of operational trading strategies and energy management systems
- Build and run backtesting and parameter-optimization pipelines to tune strategies per asset, per market and per market condition
- Support business development with revenue simulations and financial modelling of large-scale battery and hybrid, renewables+battery, projects
- Benchmark and improve asset performance once projects become operational, working closely with the TPM team to maximize performance against market benchmarks
- Have a good understanding of relevant existing proprietary algorithms within YUSO so you can apply and adapt them in new markets and environments
- Leverage your knowledge of mathematics, statistical methods, Machine Learning and/or AI to improve YUSO’s in-house forecasting models, ranging from predicting what happens to our own portfolio to predicting the behaviour and dynamics of the entire energy market
- Monitor, manage and improve existing models by fine-tuning them to new markets or changing 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
Skills
- Master's degree in mathematics, physics, computer science, engineering or an equivalent scientific / statistical / econometric discipline
- Comfortable with mathematical modelling and computational techniques, ranging from conventional optimization (e.g. linear and mixed-integer programming) to more sophisticated Machine Learning models
- Knowledge of and/or interest in trading or optimization in power or financial markets
- Experience in statistical or mathematical modelling and data analysis
- Experience with Python is a must
- Excellent communication skills with the ability to influence and persuade
- Working proficiency in English is required
- Team player with a self-driven, research-oriented mindset
- Knowledge of NumPy, Pandas, Scikit-Learn and other ML libraries is a plus
- Knowledge of other languages is a plus
- Experience with SQL/MySQL, Git and AWS (or another cloud platform) is a plus, our production stack runs on them
- Experience in energy markets through your education or past employment is a plus; knowledge of battery storage or ancillary services is a strong plus
- Interest in leveraging AI applications to make your workflow more efficient
Benefits
- Remote work and/or working from the YUSO offices in Waregem, Belgium
- Group insurance
- Health insurance
- Meal vouchers
- Eco vouchers
- IT equipment supporting remote work
- Home-office compensation
- A mobile plan
- A variable part linked to the performance of the team
Company Overview