SENIOR QUANTITATIVE RESEARCHER (F/M/D)

We are currently seeking a new colleague to join our Algorithmic Trading and Research unit to develop trading strategies for flexible assets and optimise their value across electricity wholesale and ancillary services markets. In this role, you will help design, implement, and scale trading and dispatch strategies for a diverse flexibility portfolio. This includes stand-alone large-scale assets such as wind parks, solar plants, and utility-scale battery systems, as well as aggregated distributed flexibility from rooftop PV, home battery systems (BESS), heat pumps, and EV chargers. Your work will directly support portfolio imbalance management, ancillary services bidding, and short-term market optimisation, ensuring that flexibility is monetised efficiently across multiple markets.

Take YOUR part in #EnergySmart!

You will contribute to the following:

• Designing and developing trading and optimisation strategies for flexible assets across intraday, balancing, and ancillary services markets
• Translating asset characteristics (ramp rates, state of charge, availability, response times) into market-ready bidding and dispatch logic
• Optimising the allocation of flexibility between multiple competing markets
• Supporting portfolio imbalance management by developing strategies that leverage both centralized assets and large-scale aggregated residential flexibility
• Building and maintaining systematic backtesting frameworks to evaluate trading strategies under different market conditions
• Contributing to the automation and scaling of trading decisions within algorithmic and semi-automated trading setups

• University degree (Data Science, Statistics, Computer science, Mathematics, Physics, Econometrics or a closely related field)
• Practical experience with Python, SQL, Git, Apache Airflow
• Some familliarity with energy trading, market design, and flexibility markets
• Practical experience with linear optimisation techniques
• Solid understanding of risk management, portfolio optimisation, and constraint-based decision-making
• Proactiveness, responsibility, collaboratives and attentiveness to details
• Eagerness to learn energy market specifics
• Great communication skills in English (writing and speaking)

Would be an advantage:

• Experience with intraday power markets, balancing markets, or ancillary services
• Experience with virtual power plant technology
• Experience with linear / mixed-integer optimisation, stochastic optimisation
• Familiarity with battery optimisation, hybrid asset operation, or flexibility aggregation
• Understanding of regulatory frameworks for reserve and balancing products

• Compensation corresponding to experience and competencies, and financial incentives dependent on achieved results
• A package of additional benefits to choose from: pension accumulation, health insurance, or another benefit from the selectable benefits list in the MELP application
• Additional paid days for health improvement, short-term illness, volunteering, and accumulated work experience
• A hybrid work model (3+2) and flexible working hours
• An onboarding program tailored for new hires, including tours and buddy support
• Team and Group events, other activities
• Take part in an unfolding energy transformation process to create a 100% green and secure energy ecosystem for both current and future generations

Join a growing and increasingly international team of energy smart people united by a common purpose. We all play our part in creating a 100% green and secure energy ecosystem for current and future generations.

And the way to achieve this is certainly not to wait for the perfect moment. We believe that the power to act comes from the charge we bring to our work every day. United by purpose. Owning the challenge. Passion for reinvention. Pursuing excellence. These are our mindsets. Together, they yield the energy that drives everything we do. The energy generated by our choices. If you are guided by the same mindsets – we look forward to welcoming you to our team!

As we pursue our strategic goals to increase gender balance in Ignitis Group, we are indicating “f/m/d” next to job titles, meaning we welcome candidates of all genders – female, male or diverse.

Ignitis Group ensures equal opportunities. We welcome all applicants and do not discriminate against race, religion, gender, sexual orientation or gender identity, age, disability or other personal traits unrelated to work obligations.