Structuring Analyst

hace 4 horas

Madrid, España repsol A tiempo completo

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: Strong programming skills in Python, R, MATLAB, or C++ with experience in libraries such as NumPy, SciPy, Pandas, or optimization tools like Gurobi/CPLEX. Expertise in stochastic calculus, time‑series analysis, volatility modeling, and optimization algorithms. 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 #J-18808-Ljbffr

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