Job description
Description
The position
The Sympower Data ML team is dedicated to delivering energy bidding and trading solutions, including forecasting and optimization services. We work closely with the Trading team to develop these solutions and collaborate across the Technology department to seamlessly integrate our data services into the broader Sympower software ecosystem.
As a Quant ML Engineer focused on energy trading and optimization, your primary focus will be to deliver market-relevant forecasts and revenue-optimizing strategies to stakeholders, leveraging your comprehensive skill set in quantitative modelling. The role involves designing and fully implementing scalable, reusable machine learning software and data pipelines for specific projects. It also entails engaging in innovative, experimental initiatives and embracing an iterative approach to develop and test market-impactful ideas for the benefit of the Trading Team.
We are seeking a skilled professional to expand and fine-tune our energy trading-focused forecasting and optimization services around wholesale trading, balancing markets such as FCR, mFRR, and the imbalance mechanism. Your role will involve crafting new quantitative models and trading intelligence products and refining existing ones, ensuring the consistent enhancement and robustness of our algorithmic decision-making and revenue optimisation engine at Sympower.
What is in it for you
We are committed to creating an inclusive, values-based culture where everyone feels that they belong and has the opportunity to do meaningful work.
We offer a market competitive compensation package, including but not limited to:
30 Days Paid Holiday Leave
1 Day Paid Wellness Leave
1 Day Paid Birthday Leave
Paid Maternity and Partner Leave
Pawternity Leave
Mental Health and Wellbeing Support
Remote Office Budget
Internet Allowance
Development Plan & Budget
Stock Appreciation Rights
2 Days Paid Volunteer Leave
Learn about all of our benefits on our careers page.
Requirements
During your daily job, you will:
Take ownership of implementing production-worthy, scalable machine learning models, with a focus on forecasting, optimisation and trading strategies use cases.
Conduct quantitative research and backtesting to demonstrate the value of forecasting, trading signal generation, and optimisation models to stakeholders.
Develop batch and streaming machine learning pipelines with the full Databricks stack, with a strong focus on software engineering best practices.
You will work with our tech stack: Databricks, Python, Polars, PySpark, Delta Lake, Pyomo
Leveraging your effective communication skills, you will collaborate with the Data Product Manager and Trading Team on how the models can bring the most value to Sympower especially in the context of energy market participation and trading decisions. Your role will involve close collaboration with other members of the Data teams, predominantly other Machine Learning and Data Engineers and occasionally Analytics Engineers, ensuring end-to-end delivery to the other Sympower teams, the Sympower platform and our customers.
What you will need
Experience working at a BRP and/or a trading/optimisation company where you implemented forecasting, trading and optimisation algorithms for energy assets such as batteries, renewables assets or demand response assets.
Experience with building scalable data modelling pipelines, preferably with Databricks and Python (Polars, PySpark, Delta Lake, Pyomo).
Familiar with methods for improving model performance and designing and evaluating metrics that help evaluate the model performance in a trading business context
A software-engineering mindset, approach and skillset. This includes experience with git, CI/CD, testing frameworks, and DevOps.
Experience and affinity with mentoring and coaching other team members, helping them to grow.
Good stakeholder communication and being comfortable presenting or facilitating meetings with different audiences, using the right level of detail.
Experience driving a project from start to end, including planning, task breakdown, discussions with stakeholders and working together with product management.
Challenging and steering the team’s technical and product roadmap.
Affinity for working in a fast-paced/growing scale-up company. You are a fast learner and can adapt quickly to new circumstances.
Fluent in English and other languages are nice to have.
A quantitative education background, ideally econometrics/operations research /mathematics/AI/etc.
Who we are
Sympower is accelerating the global transition towards ‘net-zero’ by helping to build smarter, cleaner renewable energy systems. Using our proprietary software platform, we help balance the supply and demand of electricity across international energy networks.
We help businesses, grid operators, asset owners and other energy stakeholders around the world reduce their carbon emissions, integrate more distributed renewable energy resources, and generate new revenue streams by participating in demand-side response services.
Learn more about us in thisvideo.
Since 2022, Sympower has been a certified B Corp, which shows the company is meeting high standards of verified performance, accountability, and transparency across 5 impact areas: governance, workers, community, environment, and customers.
Sympower is an equal opportunity employer. We encourage a diverse workforce and are committed to creating an inclusive environment for all team members.
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MESSAGE TO RECRUITMENT AGENCIES: support for filling this position is not required, so proposals for recruitment services will not be reviewed or responded to.
