Structuring Analyst

hace 1 semana

Madrid, España Repsol A tiempo completo

Madrid, Community of Madrid, SpainAumente sus posibilidades de llegar a la fase de entrevista leyendo la descripción completa del puesto y enviando su solicitud sin demora.Key InformationTeam: D. CONTROL & ADMINISTRATION WGTLocation: Madrid, SpainExperience level: 5-7 yearsJob type: HybridRequirements: English C1 level + Bachelor’s and Master’s DegreeResponsibilitiesOptionality 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 OfferPermanent contractBonus according to objectivesMedical insuranceContribution to pension planDigital disconnection measuresConciliation measuresLegal adviceEmployee support servicesQualificationsEducation: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). xsgfvud 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 LevelMid‑Senior levelEmployment TypeOtherJob FunctionLegalIndustriesOil and Gas#J-18808-Ljbffr

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