Madrid, Community of Madrid, Spain
Key Information
* Team: D. CONTROL & ADMINISTRATION WGT
* Location: Madrid, Spain
* Experience level: 5-7 years
* Job type: Hybrid
* Requirements: English C1 level + Bachelor’s and Master’s Degree
Responsibilities
* Optionality Modeling: Develop and maintain quantitative models to value and simulate optionality in LNG, gas, and power contracts, incorporating stochastic processes, Monte Carlo simulations, and real options analysis.
* Asset Integration: Analyze and model physical assets such as pipelines, shipping routes, storage caverns, and terminal slots, assessing their impact on portfolio optionality.
* Interconnections and Cross‑Sector Modeling: Build integrated models linking energy portfolios with refinery operations, petrochemical feedstocks, and cogeneration systems to optimize energy efficiency, cost, and revenue.
* Hedging Strategy Development: Design, implement, and backtest hedging programs using derivatives to mitigate price, volume, and basis risks in a multi‑commodity setting.
* Portfolio Optimization: Create optimization frameworks (e.g., linear/non‑linear programming, dynamic programming) for global cross‑commodity portfolios.
* Risk Assessment and Scenario Analysis: Conduct stress testing, sensitivity analysis, and scenario modeling to evaluate portfolio exposures under various market conditions.
* Collaboration and Reporting: Work closely with traders, risk managers, operations teams, and senior stakeholders to translate quantitative insights into actionable strategies and prepare detailed reports.
* Innovation and Research: Stay abreast of emerging quantitative methods, machine learning applications, and industry trends to enhance internal tools and methodologies.
What We Offer
* Permanent contract
* Bonus according to objectives
* Medical insurance
* Contribution to pension plan
* Digital disconnection measures
* Conciliation measures
* Legal advice
* Employee support services
Qualifications
* Education: Advanced degree (Master’s or PhD) in Quantitative Finance, Applied Mathematics, Physics, Engineering, Operations Research, or related field.
* Experience: Minimum 5-7 years in quantitative analysis within energy/commodities trading, structuring, or risk management, with proven expertise in modeling optionality for physical portfolios.
* Technical Proficiency:
o Strong programming skills in Python, R, MATLAB, or C++ with experience in libraries such as NumPy, SciPy, Pandas, or optimization tools like Gurobi/CPLEX.
o Expertise in stochastic calculus, time‑series analysis, volatility modeling, and optimization algorithms.
o Familiarity with energy‑specific software (e.g., dispatch optimization engines) and data sources (Bloomberg, Refinitiv).
* Market Knowledge: Deep understanding of global energy markets, including LNG spot and term contracts, gas hub pricing, power grid dynamics, and cross‑commodity correlations.
Seniority Level
* Mid‑Senior level
Employment Type
* Other
Job Function
* Legal
Industries
* Oil and Gas
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