Data Scientist Short Term Trading (Energy Trading)

Location: Rotterdam, Netherlands; hybrid schedule with 40% office, 40% home, and 20% flexible work. With manager approval, working abroad is allowed within approved countries for up to 3 weeks per year, with a maximum of 2 consecutive weeks.

Gross annual salary: €80,000–€107,000, including FlexBudget and 8% holiday allowance; a bonus or collective profit sharing may apply.

Company

hirify.global is an energy company focused on the energy transition, sustainable energy sources, energy storage, energy management, and European energy trading.

What you will do

• Develop and maintain data-driven applications for cross-market optimization, bidding, and decision-making.
• Build optimization strategies, bidding algorithms, machine learning models, heuristics, and other quantitative methods for short-term power and ancillary markets.
• Optimize the flexibility of steerable assets, including Battery Energy Storage Systems, in fast-moving real-time markets.
• Improve forecasting, modelling, and decision-support tooling using large and growing datasets.
• Drive automation and scalability by streamlining and operationalizing manual processes.
• Collaborate with quants and traders to identify analytics opportunities and deliver integrated solutions.

Requirements

• Quantitative MSc or equivalent experience in Computer Science, Mathematics, Statistics, Econometrics, or a related quantitative field.
• At least 3 years of hands-on experience in a quantitative role within a business context.
• Strong quantitative problem-solving skills and experience developing algorithms or analytical models.
• Strong Python development skills, including clean modular code, unit tests, and monitoring.
• Experience building and deploying scalable cloud applications and/or algorithms, including work with streaming data.
• Ability to understand business problems, distinguish primary from secondary issues, and translate them into robust data-driven solutions.
• Proactive ownership, continuous improvement mindset, and the drive to deliver results.

Nice to have

• Prior experience in energy trading.
• Experience with non-linear or linear optimization.
• Experience with Azure Cloud, Databricks, Kubernetes, Airflow, Snowflake, or Kafka.

Culture & Benefits

• Work in the Flex Optimization team within Trading & Structuring, near Rotterdam-Alexander station.
• Collaborative, informal, transparent, and collegial environment with close interaction between quants and traders.
• FlexBudget can be paid out, exchanged for additional holiday days, or saved.
• Personal and professional development support.
• Hybrid work combining office, home, and flexible work, with limited approved work abroad.

Hiring process

• Contact Michiel Lamers for vacancy information or Recruiter Jaap Beijerman for application-process information.