Quantitative Analyst

Description

Job Summary: We are seeking a dynamic professional with strong analytical and financial capabilities to develop methodologies and conduct quantitative analysis for investment projects within the Trading Middle Office. Key Highlights: 1. Professional development and challenging projects in a global environment. 2. Application of advanced theoretical knowledge in commodity trading. 3. Continuous training and support for your professional growth. ### **At Repsol, we are committed to equality and do not request personal information.** ### **We believe that diversity contributes to innovative ideas and provides added value that enables us to benefit from mutual learning and perform our best work. Here, what counts is your experience and your ability to create value. We offer you the opportunity to grow professionally, develop your career with challenging projects and collaborate with talented people worldwide. As a company committed to diversity and inclusion, we encourage all professionals who meet the job description requirements to apply.** **Key Information:** ====================== Team: Middle Office (Trading) Location: Madrid, Spain Experience Level: \+3 years Work Type: Hybrid Requirements: English C1 \+ Bachelor's degree or higher **The team you will join:** ============================= Within the Trading Middle Office department, this area is responsible for developing methodologies and conducting quantitative analysis (in terms of valuations and risk measurement) for the most significant investment projects (by term, complexity and/or value) in the Trading area. We require a dynamic individual with strong analytical and financial skills, as well as knowledge of commodity markets and typical trading operations, to meet the needs arising from Trading’s ambitious Growth Plan. We seek a candidate capable of applying deep theoretical knowledge (e.g., price evolution models, option valuation, etc.) to the real-world business of commodity trading. **Main Responsibilities:** ======================= * Define and implement price evolution models (GBM, mean reversion, two-factor models –SS\–, etc.). Validate results obtained using these models. Explain their strengths and weaknesses. * Calibrate model parameters and justify criteria used for selecting them. * Value commodity contracts, including real options modeling (contract analysis to identify embedded options, modeling, selection of valuation methodology, etc.). * Extract and present conclusions in an accessible, pedagogical manner for senior management. * Support implementation of quantitative developments into official systems (ETRM). Functional design and validation. * Monitor and control Market Risk and business results from physical and derivative trading. * Risk metrics (VaR, PFE, etc.) for physical and financial derivative contracts. * Data-driven quantitative analysis of the business based on historical data. **What We Offer:** ================== * Permanent contract * Performance-based bonus * Health insurance * Pension plan contribution * Digital disconnection policy * Work-life balance measures * Legal advisory services * Employee support services **You Will Fit This Role If You Have:** ============================== * Bachelor’s degree in Mathematics, Physics or a related Engineering discipline. * Postgraduate studies (PhD and/or Master’s) related to quantitative finance. * High level of English (C1\). * Minimum 3 years’ experience in a similar role (Quantitative Analysis and/or Risk areas). * Quantitative, econometric and statistical analysis. Ability to use methods and tools for processing large volumes of data. * Programming (e.g., Matlab, Python, VBA...). Advanced proficiency in office software and statistical packages. * Application of econometric models for price dynamics. * Excel expert, capable of handling large volumes of information. * Ability to synthesize and present conclusions in a clear, pedagogical manner to business stakeholders and senior management. **Desirable:** * Prior experience in commodity/utility sector companies. * Knowledge of commodity markets (both physical and derivatives) and associated pricing. * Database knowledge. * Experience in risk analysis / investment valuation. * Familiarity with Market Risk methodologies and metrics. Experience in Risk and/or Management Control areas. **Generic Competencies:** * Analytical and numerical capability. * Practical application of mathematical theory to the physical reality of business. * Ability to synthesize and present conclusions. * Initiative and autonomy. * Aptitude for rapid learning. * Assertiveness and critical thinking. * Strong communication skills. \#LI\-CG1