Junior Short-Term Power Optimizer - TotalEnergies

TotalEnergies; Madrid; On-site; EUR 90,000 - 120,000; Full time

Job summary

TotalEnergies recherche un Short-Term Power Optimizer à Madrid pour développer et maintenir des modèles quantitatifs destinés à optimiser les marchés de power à court terme (Day-Ahead, Intraday, services auxiliaires). Vous soutiendrez la tarification des contrats et suivrez les performances des stratégies d’optimisation.

Le poste nécessite une solide formation quantitative et des compétences en programmation (Python/SQL), une connaissance des marchés européens de l’énergie, et la capacité de

Qualifications

• Higher education degree in engineering, mathematics, data science or equivalent quantitative field.
• Strong quantitative and analytical skills.
• Knowledge of Day-Ahead, Intraday, balancing and ancillary services markets.
• Understanding of European energy and power market structures.
• Experience with optimization, quantitative modelling and/or trading is a plus.
• Strong programming skills, particularly Python and SQL.
• Project management and IT skills are a plus.
• Fluent Spanish and English; French is a plus.

Responsibilities

• Develop and maintain quantitative models for short-term power optimization.
• Backtest optimization strategies and monitor performance.
• Translate market and regulatory developments into actionable recommendations.
• Collaborate with Flexibility Traders, Operations and Research teams.
• Support pricing of commercial contracts with valuation inputs.
• Review asset optimization across CCGTs, BESS, renewables and more.

Skills

Quantitative skills

Analytical skills

Market knowledge

Optimization modelling

Project management

IT skills

Spanish

English

Education

Higher education degree in engineering, mathematics, data science or equivalent quantitative field

Tools

Python

SQL

Job description

Contexte et environnement

Within TotalEnergies Gas, Renewables & Power trading entity, the Short-Term Power team is responsible for the pricing, valuation, trading and optimization of assets and contracts on short-term power markets (Day-Ahead, Intraday, ancillary services and imbalance).

The Short-Term Power Optimizer is responsible for developing and maintaining the quantitative models and analyses used to review the short-term optimization strategies of the STP South Europe portfolio, and for supporting the pricing of commercial contracts.

The role focuses on assessing the optimal market and asset strategies developing and backtesting optimization methodologies, monitoring their performance and translating market, asset and regulatory developments into recommendations and value creation opportunities.

The Short-Term Power Optimizer works within the Flexibility Trading & Short-Term Optimization team and in close coordination with Flexibility Traders, Trading & Operations, Research and quantitative/modelling teams.

Activités

The key tasks are:

• Short-Term Optimization Oversight
  • Assess the optimal bidding, arbitrage and asset optimization strategies applied across short-term power markets.
  • Review the optimization of flexible and non-flexible assets including CCGTs, BESS, renewables, Supply and other portfolio positions.
  • Take progressive ownership of the performance of the optimization strategies within the assigned perimeter, from strategy proposal and backtesting to implementation monitoring and recommendations for continuous improvement.
  • Assess optimization opportunities between different markets and across different assets and contracts.
  • Coordinate with Flexibility Traders and Operations to share review findings and follow up on trading recommendations.
  • Translate quantitative results into recommendations on bidding and optimization strategies.
  • Perform studies to identify optimal strategies at portfolio level.
• Quantitative Models & Backtesting
  • Develop, run and maintain the quantitative models and methodologies used to review optimization strategies and support pricing, in coordination with quantitative/modelling teams where relevant.
  • Continuously backtest strategies to assess their adequacy and optimality.
  • Dynamically adjust review models and benchmarks based on observed performance, changing market conditions and new information.
  • Backtest and review systematic and algo-trading strategies.
  • Support the integration of new assets, contracts and market mechanisms into the optimization review and pricing frameworks
• Pricing & Valuation
  • Support Flexibility Traders in the pricing of commercial contracts (valuation inputs, risk factors and portfolio effects). Price commercial structures and short-term power products for internal and external counterparties.
  • Maintain quantitative pricing and valuation models for short-term power assets and contracts, including BESS, CCGTs, RES, Supply and other flexible and non-flexible assets.
  • Ensure consistency between pricing assumptions, expected portfolio value and operational feasibility.
• Performance & Continuous Improvement
  • Monitor KPIs and P&L associated with the optimization strategies within the assigned perimeter.
  • Define performance reporting designed to feed back into the review of strategies, backtesting and recommendations to the functions in charge of optimization decisions and to Management.
  • Perform impact analysis regarding market and regulatory developments to identify new value creation opportunities.

Profil du candidat

• Higher education degree in engineering, mathematics, data science or equivalent quantitative field.
• Strong quantitative and analytical skills.
• Knowledge of Day-Ahead, Intraday, balancing and ancillary services markets.
• Understanding of European energy and power market structures.
• Experience with optimization, quantitative modelling and/or trading is a plus.
• Strong programming skills, particularly Python and SQL.
• Project management and IT skills are a plus.
• Fluent Spanish and English. French is a plus.