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Selby Jennings
London, United Kingdom
 
(on-site)
Posted
2 days ago
Selby Jennings 
London, United Kingdom
 
(on-site)
Job Function
Financial Services
 Weather Data Engineer (Commodities) | Buy Side Fund 
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
 Weather Data Engineer (Commodities) | Buy Side Fund 
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
A leading global investment firm is seeking a Weather Data Engineer to help build proprietary weather analytics and infrastructure that directly powers alpha generation across its commodities trading strategies. This is a high-impact opportunity to work at the intersection of data engineering, meteorology, and AI-driven forecasting.Weather data is central to the firm's edge - from raw satellite observations to climate simulations and proprietary model outputs. You'll be part of a specialist team driving innovation in how weather data is ingested, transformed, and deployed across the investment process.
Responsibilities:
- Design and maintain scalable, cloud-native (AWS) pipelines for ingesting and processing real-time and historical weather data.
- Build robust APIs and data services to serve weather data and AI model outputs to researchers, quants, and traders.
- Support the development and deployment of proprietary forecasting models, including workflows for blending, debiasing, and fine-tuning.
- Collaborate with meteorologists, data scientists, and AI researchers to onboard new datasets and accelerate research.
- Implement automated data validation, monitoring, and alerting to ensure reliability and uptime.
- Continuously improve infrastructure to reduce time-to-insight and enhance operational scale.
Required Skills:
- 5+ years of experience building production-grade data systems, ideally in a scientific or financial setting.
- Strong Python skills and deep understanding of system architecture and cloud-native development (AWS).
- Experience with weather/climate datasets (e.g., GRIB, NetCDF, HDF5) and sources like NOAA, ECMWF, GFS.
- Solid grasp of time-series and geospatial data concepts.
- Familiarity with collaborative software development practices (CI/CD, version control, testing).
- Bonus: experience with distributed computing (Spark, Dask), container orchestration (Kubernetes, Airflow), and dashboarding/uncertainty quantification.
This is a rare chance to build differentiated infrastructure that directly supports alpha generation. You'll work closely with world-class researchers and technologists and help shape the future of weather-driven analytics in commodities trading.
If you're passionate about building scalable systems and want to work at the cutting edge of data, weather, and AI - apply today!
Job ID: 80891387
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