Meteorologist

Hudson River Trading (HRT) is seeking a Meteorologist to help build our weather data and analytics capability from the ground up, supporting trading in U.S. the natural gas and power markets. As the team's primary weather expert, you will shape what datasets we build, how we measure forecast quality, and how weather insight becomes a trading signal.

You will partner directly with researchers to build commercially relevant weather forecasts for systematic and fundamental strategies, working alongside data engineers who own the pipelines and infrastructure.

Responsibilities

• Serve as the subject matter expert for meteorology, providing weather analysis and guidance to research and trading teams
• Define requirements for weather datasets and analytical tools, partnering with data engineers to prioritize development and validate outputs
• Develop and maintain climatology and anomaly products, ensuring consistent definitions and reliable data quality
• Establish and lead forecast verification, evaluating the accuracy and limitations of models and data providers across seasons and weather conditions
• Lead tropical weather analysis during hurricane season, communicating potential impacts on energy infrastructure, supply, and demand
• Evaluate new weather data sources, vendors, and emerging forecasting technologies, and contribute to the team's development roadmap
• Investigate significant weather events and provide timely analysis, clearly communicating forecast uncertainty to technical and nontechnical stakeholders
• Help recruit, onboard, and mentor additional meteorologists as the team grows

Qualifications

• An advanced degree (MS or PhD) in Meteorology or Atmospheric Science (or equivalent)
• 6+ years of forecasting experience in energy, commodities, utilities, or another weather-sensitive industry; strong candidates with 4–6 years and direct energy-market experience will be considered
• Deep knowledge of global and regional NWP and ensemble systems, including biases and forecast limitations
• Proficiency analyzing gridded data (GRIB/NetCDF) in Python (xarray, pandas, or similar technologies) and define requirements for engineers
• Ability to collaborate with quantitative teams and communicate meteorological insights, including explaining uncertainty and defending forecasts
• Experience leading forecast verification and evidence-based model evaluation
• Hands-on experience developing climatologies and anomaly products
• Familiarity with evaluating AI/ML weather models against traditional NWP
• A background in tropical forecasting or hurricane response
• Knowledge of U.S. power markets and natural gas fundamentals 
• Exposure to systematic or fundamental trading strategies
• A history of mentoring or leading meteorologists
• Cloud data platform or SQL proficiency
• AMS Certified Consulting Meteorologist (CCM) or similar credential

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.