Hudson River Trading est une société de trading quantitatif qui développe des technologies de négociation et fournit de la liquidité sur les marchés financiers.
Meteorologist
Hudson River Trading recrute un météorologue pour développer ses données et analyses météo au service du trading de gaz naturel et d’électricité aux États-Unis. Vous définirez les jeux de données et évaluerez les prévisions, en collaboration avec les équipes de recherche et d’ingénierie des données. Le poste requiert un diplôme avancé en météorologie ou sciences de l’atmosphère et au moins six ans d’expérience en prévision météo, avec une maîtrise de Python et des données GRIB/NetCDF.
Repères sur Hudson River Trading
- Domaine officiel
- hudsonrivertrading.com
- Offres ouvertes
- 41
Détails de l’offre
La description complète publiée par Hudson River Trading.
Description de l’offre
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. Culture Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues
- whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office. Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you. Please be advised: Use of AI tools by an applicant during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used by an applicant during an interview or an assessment, we reserve the right to immediately end the interview or assessment, disqualify the applicant’s candidacy and/or rescind any job offers extended. You can review our Global Applicant Privacy Notice , which explains how we process applicant information.
Prérequis
- Diplôme avancé en météorologie ou sciences de l’atmosphère (ou équivalent)
- 6 ans ou plus d’expérience en prévision météorologique
- Maîtrise de Python et des données GRIB/NetCDF
Avantages mentionnés
- Bonus lié à la performance discrétionnaire
- Package d’avantages compétitif
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