Quantitative Developer / AI & Automation Specialist – Power Trading

Quantitative Developer / AI & Automation Specialist – Power Trading
Bucureşti
Bucharest, Bucharest, Romania

As a leading provider of Human Resources consulting services in Transylvania, we deliver regional coverage and specialized expertise across four core areas: recruitment and selection, personnel leasing, assessment centers and HR consultancy. With a strong and consistent presence on the Romanian market, we continue to consolidate our position through a strategic commitment to continuous improvement and alignment with evolving business needs.

Our success is founded on the professionalism of our services, the multidisciplinary capabilities of our consulting team, and the
- standing partnerships we maintain with clients who rely on our support in navigating complex HR challenges.

We collaborate with organizations across a broad range of industries, including IT&C, automotive, outsourcing, pharmaceutical, banking, FMCG and others, building sustainable,
- term relationships that contribute to their organizational growth.

Guided by the principles of client orientation, teamwork, flexibility, excellence, dedication, and responsibility, we remain focused on delivering measurable value and consistently
- quality services to our partners.

Responsabilities:

• Develop AI models for forecasting consumption and production, including renewables;
• Build predictive models for prices in DAM, IDM, and BRM markets;
• Forecast imbalances and associated costs using advanced ML techniques (LSTM, Transformer, regression);
• Design and implement automated bidding strategies in DAM and IDM;
• Develop arbitrage algorithms across OPCOM, BRM, and SIDC;
• Optimize revenues from batteries and storage through AI-driven models;
• Automate data pipelines for OPCOM, BRM, ENTSO-E, ANRE, and weather data;
• Apply feature engineering specific to energy trading (ramp rate, forecast error, imbalance cost);
• Deploy AI models in live trading environments with monitoring and recalibration;
• Implement MLOps practices using MLflow, Azure ML, Databricks;
• Create dashboards in Power BI showing forecasts vs. actuals, bidding recommendations, and risk metrics;
• Ensure compliance with ANRE, REMIT, GDPR through explainability (SHAP, LIME) and documentation;
• Provide
  - ready workflows with full reproducibility;
• Collaborate closely with traders to integrate AI models into
  - making;
• Conduct risk simulations and scenario analysis to support trading strategies;

Requirements:

• Machine Learning: advanced knowledge in supervised and unsupervised learning, time series modeling;
• Deep Learning: experience with LSTM, Transformer and CNN for sequential data;
• MLOps: use of platforms such as MLflow, Kubeflow, Azure ML for managing the model lifecycle;
• Data Engineering: skills in ETL, Airflow, Spark, dbt and SQL for efficient data processing;
• Programming: expertise in Python (pandas,
  - learn, Py
  Torch) and version control with Git;
• Visualization: creation of interactive dashboards with Power BI;
• API & Integration: development and consumption of REST APIs, integration with OPCOM/BRM APIs;
• Model Explainability: use of SHAP and LIME techniques for AI model interpretation;
• Energy Trading: deep understanding of DAM, IDM, BRM and SIDC markets;
• Decision Optimization: development of algorithms for automated bidding, arbitrage and HFT strategies;
• Energy Forecasting: ability to build accurate models for price, imbalance and production forecasting;
• Risk Analysis: conducting simulations and scenarios for risk and cost estimation;
• Communication: ability to explain complex AI concepts to
  - technical stakeholders;
• Collaboration: effective work with traders, IT, BI and operations teams;
• Strategic Thinking: aligning AI solutions with the commercial objectives of the department;
• Adaptability: ability to react quickly to market or regulatory changes;
• Professional Ethics: responsibility in the use of AI, with focus on transparency and fairness;
• Cloud & Infrastructure: experience with Azure MS Fabric for scalability;