Quantitative Developer / AI & Automation Specialist – Power Trading

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 long-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, long-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 high-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 audit-ready workflows with full reproducibility;
• Collaborate closely with traders to integrate AI models into decision-making;
• Conduct risk simulations and scenario analysis to support trading strategies;

Requirements :