Senior Research Analyst - Commodities

About the role

Senior Research Analyst - Commodities We are seeking a Centralized Energy Analyst to support various trading teams within our commodities business, with primary coverage across North American Power/Natural Gas and related macro/fundamental drivers. This seat will serve as a shared research resource across various portfolio managers and traders, producing actionable views, market intelligence, and cross-commodity analysis that inform relative value, directional, and event-driven trading. The ideal candidate combines deep energy market knowledge, strong quantitative skills, and the ability to turn fragmented market data into clear trade-relevant insights. This role is research-intensive and fast-paced, with a focus on identifying dislocations, monitoring catalysts, and improving the investment team’s understanding of interconnected energy markets. Key Responsibilities Build repeatable analytical frameworks that enhance the platform’s edge. Develop and maintain fundamental and market-based views across North American energy markets. Produce centralized research on supply/demand balances, storage, flows, outages, weather impacts, policy, seasonality, and cross-commodity linkages. Support traders and portfolio managers with timely pre-trade analysis, scenario work, catalyst tracking, and post-mortem reviews. Partner with data, risk, and technology teams to improve data quality, analytics infrastructure, and research workflows. Help identify investment opportunities across regions, tenors, and related energy commodities. Contribute to idea generation for futures, options, swaps, and spreads across the energy complex. Become a trusted resource across multiple investment teams Required Qualifications Bachelor’s degree in Economics, Finance, Engineering, Mathematics, Physics, Statistics, or related field. 5+ years of experience in energy research, commodity trading, investment analysis, or market analytics. Strong understanding of financially traded energy markets. Experience building analytical models in Python, Excel, SQL, or similar tools. Strong grasp of fundamental and market data sources relevant to commodity investing. Ability to synthesize large volumes of information into clear, decision-useful investment conclusions. Excellent written and verbal communication skills. Demonstrated ability to work in a high-performance, fast-moving environment.