Weather Data Scientist - London

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Balyasny Asset Management is seeking an experienced Weather Data Scientist to work in our London-based Commodities Research and Analytics team. We are building a weather analytics and forecasting platform alongside a geospatial platform to manage scientific weather datasets, provide custom services and advanced analytics for our Commodity investment teams.
As a Data Analyst/Scientist, you will be contributing to our greenfield platforms by implementing weather analytics, conducting data analysis, building visualisations, communicating weather views and signals and work directly with our Commodity Portfolio Managers and their analysts and traders to help integrate and use weather data in their trading activities. This is a unique opportunity to contribute to a highly impactful initiative by helping to improve our investment teams’ ability to predict weather conditions and explore weather related commodity risks.
The ideal candidate will have a technical background in weather and climate research, a strong spatial mindset, with a good understanding on how to apply weather analytics to various commodity markets. They will also have 3-5 years of hands-on technical experience with data driven technologies and be a very strong communicator with the ability to excel in a fast-paced trading environment.
Responsibilities
Develop and maintain advanced weather analytics products, focusing on temperature, precipitation, and wind patterns critical to commodity markets
Produce and maintain maps, visualisations, and statistical analysis to support custom services.
Act as a weather data liaison, collaborating closely with PM teams to enhance their trading strategies through tailored data solutions
Synthesize complex weather data into custom indices and actionable insights, leveraging your expertise in geospatial analysis
Contribute to the technical build of the platform. Expanding our data access toolkit, address data quality challenges
Assist in the identification and prioritization of potential analytics projects and products which could add to business value
Qualifications & Requirements
Track record of delivering weather analytics solutions to financial markets
Exposure to various weather vendors such as ECMWF, GFS, NOAA, NASA, Commodities Weather Group, and other primary weather vendors
Strong foundation in atmospheric science, with experience in building data pipelines from raw climate data in formats such as GRIB, NetCDF, and HDF
Proficiency in Python (3-5 years preferred) and familiarity with scientific computing libraries such as Pandas/Geopandas, NumPy, Xarray/Rioxarray, Raterio, Pysal, Pyproj, Shapely, PySpark etc
Experience with AWS cloud services and infrastructure, with hands-on experience in data orchestration and deployment (S3, Lambda, Redshift, Glue, ECS, etc.)
Proficient in querying data, writing reports and visualizations. StreamLit, Dash or Tableau a plus
Exceptional communication skills, with the ability to distill complex technical details into clear, concise narratives for diverse audiences
Familiarity with DevOps best practices and tools: e.g., Git, Jenkins, Airflow, TerraForm
Degree in Atmospheric Science, Planetary Science, Earth Science, Computer Science, or closely related field
Nice to Have
Understanding of various meteorological concepts, a plus for any of the following: numerical weather prediction, sub-seasonal to seasonal predictability, synoptic meteorology, tropical variability, severe weather phenomena
Experience working with large geospatial databases, proficiency in QGIS, GeoServer, OGR/GDAL, or similar location analytics tools
Machine learning expertise, particularly applied to enhancing weather forecast models
Experience with an OOP language such as C++ or Rust
Familiarity with commodities and trading. Prior exposure to Commodities a plus
Join us to make a tangible impact on commodity trading by harnessing the power of weather data. We're looking for a data-driven innovator ready to take on the challenge of predicting the unpredictable.

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