Quantitative Regulatory Reporting Analyst

About the Role

The Quantitative Regulatory Reporting Analyst will support regulatory reporting activities, contribute to compliance and risk control processes, and help ensure the accuracy, completeness, and timeliness of reporting requirements in a fast-paced trading environment. This role operates within the U.S. energy and commodities markets. The position works closely with trading, risk, finance, and compliance teams, providing time-sensitive analysis.

Key Responsibilities

• Ensure trading operations comply with all applicable financial and physical market regulations, including those issued by the CFTC, FERC, EIA, ERCOT, PJM, MISO, SPP, CAISO, WECC, ONRR, PUCT, and other relevant Public Utility Commissions.
• Develop, enhance, and monitor risk metrics designed to measure and manage exposures in accordance with regulatory requirements and market practices.
• Ensure the relevance, accuracy, integrity, and reliability of risk and regulatory reporting tools throughout their design, implementation, maintenance, and output validation processes.
• Design, improve, and automate business processes using Business Intelligence and data analytics tools to enhance efficiency, transparency, and control effectiveness.
• Support risk management activities by analyzing exchange and OTC market requirements, implementing and maintaining regulatory and risk models such as SPAN, SIMM, and Monte Carlo methodologies, and providing exposure analysis through scenario testing, stress testing, and forecasting.
• Partner closely with Trading, Risk, Middle Office, and Back Office teams to provide quantitative insights that support portfolio optimization and commercial decision-making, including price shock and market exposure analyses.
• Analyze and classify transactions in accordance with CFTC Substantial Position and counterparty reporting requirements while maintaining a strong understanding of portfolio and market dynamics.
• Develop and maintain automated reporting and analytical solutions using tools such as Python, Alteryx, Power BI, and other data visualization platforms.
• Maintain and validate market regulation models, ensuring their accuracy, consistency, and compliance with regulatory expectations.
• Reconcile regulatory model outputs with external counterparties and exchanges as required, investigating and resolving discrepancies in a timely manner.
• Provide subject matter expertise and ongoing support to business stakeholders regarding changes in market regulations, exchange rules, and reporting obligations that impact trading activities.
• Collaborate with colleagues across global offices to ensure consistent interpretation and application of regulatory requirements.
• Prepare, review, and submit regulatory reports accurately and on time, while monitoring regulator feedback, addressing inquiries, and implementing improvements as needed.

Requirements & Tech Stack

• Proficiency in programming languages such as Python, R, or C# for data analysis, model development, automation, and process improvement.
• Ability to work with complex databases, extract meaningful insights, and support regulatory and risk-related analyses.
• Business Intelligence and data analytics tools.
• SPAN, SIMM, and Monte Carlo methodologies.
• Python, Alteryx, Power BI.

Qualifications

• Master’s degree in Actuarial Science, Mathematics, Quantitative Finance, or a related quantitative discipline. An MSc in a scientific field or an MEng is highly preferred.
• 0 to 4 years of relevant professional experience in risk management, quantitative analysis, financial markets, or a related field.
• Strong written and verbal communication skills in English; French language proficiency is a plus.
• Understanding of commodity markets and their key risk factors, including price volatility, market dynamics, and trading mechanisms.
• Knowledge of applicable financial regulations and the ability to apply regulatory requirements within model analysis and risk control frameworks.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and assess risks associated with regulatory models.
• Ability to work efficiently in a fast-paced environment, manage competing priorities, and consistently meet daily deadlines.
• Innovative mindset with the ability to develop practical solutions to meet regulatory requirements and address complex business challenges.