Senior Biofuels Research Analyst

Key Responsibilities

• Build and maintain S&D balances: Develop, refine, and update comprehensive supply & demand models and price forecasts across renewable diesel, biodiesel, ethanol, SAF, and key agricultural feedstocks.

• Bridge agricultural and energy intelligence: Leverage Kpler's cross-commodity breadth by linking agricultural desks (oilseeds, vegoils, grains) with oil and middle distillates desks to capture the full biofuels value chain.

• Analyze policy and regulatory drivers: Track and evaluate critical market movers, including the Renewable Fuel Standard (RFS/RINs), state low-carbon fuel standards (LCFS), federal clean fuel producer credits, crush economics, and trade dynamics.

• Deliver market-leading research: Produce timely written commentary, reports, and house views, representing Kpler’s US market perspective in client presentations, webinars, industry conferences, and media outlets.

• Optimize data infrastructure: Partner with data engineering and product teams to scope, prioritize, and validate scrapers and automated data pipelines that power Kpler’s S&D product.

• Drive commercial impact: Provide analytical clarity that builds client trust, supports product retention, and drives commercial growth across energy and agricultural sectors.

Experience & Background

• 5+ years of experience in commodity market research and analytics, with direct experience analysing US biofuel and feedstock fundamentals.

• Strong domain knowledge of the US biofuels policy stack (RFS/RIN, LCFS, clean fuel producer credits) and feedstock dynamics across UCO, tallow, and the soybean complex.

• Proven track record of building, maintaining, and refining quantitative S&D balances and price forecasting models.

• Experience analysing and managing market data (advance level use of Excel), with ability to extract meaning insights and detect market trends.

• Solid grasp of how agricultural supply chains and energy market economics interact to drive biofuel margins.

• Bachelor's degree in Economics, Energy, Agricultural Science, or a related quantitative field (or equivalent practical experience).

Nice-to-haves:

• Experience working with large datasets utilising SQL, Python, or VBA

• An established network of US biofuel, energy, or agricultural market contacts

• Experience working within fast-paced, global, or cross-functional research environments