Assistant Internship Commodity Trading Jobs (NOW HIRING)

Repsol is a global energy company present throughout the whole energy value chain. The company employs more than 25,000 people and its products are sold in more than 90 countries, reaching 10 million customers. Repsol is a producer of natural gas and crude oil and has one of the most efficient refining systems in Europe. Repsol also operates low-emissions power generation assets, such as photovoltaic and wind power projects.

The Risk Management Analyst combines strong skills in data analytics and automation of reporting with a keen interest in trading markets. Reporting to the Middle Office Manager, this role monitors and interprets metrics of economic performance as well as market risks with respect to Repsol's North American Natural Gas and Power trading activities. Responsibilities include market monitoring, position & valuation analysis, risk assessment, reporting as well as continuous improvement / automation. Product modeling experience is a plus but not a prerequisite. This role is strongly recommended for an analytical individual with a solid interest in both physical and financial gas and power trading, and the desire to grow in a commodity trading environment. The successful candidate is a proactive individual with strong analytical capabilities, attention to detail, and a hands-on personality.

Responsibilities

The Risk Management Analyst will be primarily responsible for and contribute to:

• Generating timely and accurate daily and end-of-month P&L along with market risk exposure reports through data analytics and automated processes.

• Prepare and communicate daily market briefs to the Risk organization.

• Execution of trade controls and engage with traders on market risk and valuation changes of physical and derivatives trading positions.

• Market analysis, data gathering, synthesis, and position monitoring activities.

• Review of contracts and engage with traders to ensure accurate risk capture and valuation of trades in the ETRM system.

• Assist in the development and maintenance of automated reporting tools and dashboards for risk and performance metrics using Python, R, SQL, Excel, VBA

• Assist in the development, maintenance, and enhancement of valuation models for structured products and exotic derivatives, utilizing techniques such as Least Squares Monte Carlo (LSMC) in R/Python.

• Support the implementation and maintenance of quantitative risk models including Monte CarloVaR, stress testing, scenario analysis, and dynamic volatility forecasting (GARCH, EWMA) using R/Python.

• Assist in the development and application of machine learning techniques for price simulation models and advanced scenario generation using Python.

• Assist in the development and enhancement of tools and models for valuation and risk analysis (advanced modeling is a plus but not a prerequisite).

• Communication and dialogue with other business areas (Front Office, Back Office, Process Support, Accounting, Corporate Risk, Contracts). Work closely with the reporting area for ad-hoc and monthly financial reports.

Required Qualifications

• The legal authorization to work in the US for any US employer.

• Bachelor's degree or higher in an analytical and numerical subject, preferably in Mathematics, Engineering, Finance, Computer Science, Data Analytics, or Quantitative Finance.

• Strong quantitative and analytical foundation with demonstrated skills in data analytics, data processing, automation of reporting, and interactive data visualization.

• Interest in trading markets (especiallyenergy-commodities) and basic understanding of market risk concepts.

• Excellent ability to gather, analyze, and synthesize information.

• Strong analytical problem-solving and data analysis skills, with attention to detail.

• Proficiency with R and/or Python for data analytics and automation (including libraries such as NumPy, SciPy, Pandas), MS Excel, VBA, SQL, and advanced visualization tools.

• Proficiency in English. Spanish is a plus.

• 0-3 years of relevant experience

Desired Qualifications

• FRM (Financial Risk Manager) certification or similar risk management credentials.

• Experience with ETRM systems (ideally Allegro) and with quantitative risk tools.

• Experience in risk modeling/developing risk models/analyzing structured transactions (modeling is a plus but not a prerequisite).

• Exposure to valuation techniques such as Monte Carlo simulation or real option valuation for structured products (e.g., gas storage, tolling agreements).

• Knowledge ofVaRmethodologies, stress testing, scenario analysis, or volatility forecasting models (e.g., GARCH, EWMA).

• Knowledge of energy market fundamentals, including gas and power forward curves, volatility surfaces, and correlation structures.

• Experience building production-grade interactive dashboards and web applications using Pythonor equivalent frameworks.

Repsol is an Equal Opportunity Employer M/F/Disability/Veteran

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