Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Sr. Quantitative Meteorologist

Job

Selby Jennings

Houston, TX (In Person)

Full-Time

Posted 4 weeks ago (Updated 6 days ago) • Actively hiring

Expires 7/30/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
61
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Summary A leading, global energy trading organization is seeking a Sr. Quantitative Meteorologist to support its North American power and gas markets. This role sits within a front-office trading analytics team, partnering directly with the Head of Power Trading to deliver actionable weather insights across short, medium, and seasonal horizons. The position blends advanced forecasting, data science, and market impact analysis in a fast-paced environment. Key Responsibilities Analyze global and regional weather models to forecast variables impacting US energy markets across multiple time frames (short-term through seasonal). Provide real-time support and daily briefings to trading and portfolio management teams, with focus on ERCOT, CAISO, and PJM. Produce regular reports on weather-driven market risks and opportunities across North America. Collaborate with quantitative and technology teams to build and enhance internal tools and data pipelines for weather analytics. Contribute to development of forecasting frameworks, model improvements, and forward-looking research. Partner with global teams to align on broader weather and climate perspectives. Lead or contribute to data science initiatives combining large-scale weather and energy datasets. Requirements Advanced degree (PhD or Master's) in Meteorology, Atmospheric Sciences, Physics, or a related discipline. 5+ years of experience in energy meteorology within a trading or commercial environment. Strong expertise in numerical weather prediction models and their comparative strengths/limitations. Advanced programming skills in Python. Solid understanding of weather impacts on US power and gas markets. Excellent communication skills with the ability to translate complex analysis into clear, actionable insights. Familiarity with machine learning techniques is a plus.