Modelling & Analytics Analyst en España

· Develop robust, scalable applications and quantitative models for risk analysis across multiple asset classes (crude, refined products, freight, gas, power, FX, etc.)

· Design and enhance Market Risk methodologies, including VaR, sensitivities, stress testing and tail risk for short-term exposures and Earnings-at-Risk for long-term exposures.

· Develop and improve Credit Risk methodologies, including EPE and PFE, for both short and long-term positions, ensuring consistency with underlying risk factor dynamics.

· Build stochastic modelling frameworks for commodity price dynamics, term structures and cross-commodity dependencies, supporting both short-term trading and long-term corporate risk metrics.

· Develop models for valuation and risk analysis of physical and structured optionality (e.g., storage, volumetric and spread options, operational flexibilities) and long-term contracts (e.g., PPAs).

· Define methodologies for forward curve construction, including proxy approaches for illiquid tenors.

· Ensure consistent valuation, risk measurement and performance reporting for trading and corporate hedging positions.

· Collaborate with trading, corporate, and tech teams to questions assumptions and support cross-functional initiatives.

· Document methodologies clearly and contribute to model governance standards.

At Moeve, we're driving a transformative strategy called "Positive Motion," focused on greening our revenue streams. As part of this vision, our Trading team plays a crucial role in optimizing value from both legacy hydrocarbons and emerging energy flows. Trading is key to maximizing value by expanding and leveraging our platform. The Risk team plays a key role in supporting trading activities by developing and maintaining cutting-edge tools and models to measure and manage risk effectively across the portfolio.

As part of the Modelling & Analytics team, you will contribute to the core of Moeve's risk platform by delivering robust tools, insightful quantitative models, and scalable risk metric solutions that directly impact the decision-making process at both strategic and operational levels.

· 4+ years of experience in financial or commodity trading companies.

· Background in Physics, Math, Engineering, Statistics, or Economics, with a strong focus on Modelling and Quantitative Finance.

· Solid expertise in stochastic processes, Monte Carlo simulation methods, volatility modelling and calibration techniques.

· Deep understanding of quantitative risk measurement frameworks.

· Strong programming skills in Python and experience with numerical libraries (NumPy, Pandas, SciPy).

· Familiarity with term structure dynamics in commodities and derivatives pricing concepts.

· Excellent English and Spanish communication skills (verbal and written).

· Ability to communicate complex quantitative concepts clearly to non-technical stakeholders.

· Strong analytical and quantitative mindset.

· Structured thinking and attention to detail.

· Effective communicator and confident stakeholder manager.

· Ability to work independently and in cross-functional teams.

· Proactive problem-solver with a strong sense of ownership and accountability.

· Capable of mentoring less-experienced colleagues and sharing technical knowledge.

· Organized planner able to handle multiple priorities under pressure.

Moeve is committed to ensuring equal opportunities, identifying and developing the full potential of individuals based solely on their abilities to perform their roles and without discrimination based on sexual orientation, gender identity, gender expression, sexual characteristics, or any other aspect of diversity.