Weather Data Analyst

1 month ago

London, Greater London, United Kingdom Balyasny Asset Management L.P. Full time
Commodity Weather Data Scientist

Balyasny Asset Management L.P. is seeking a skilled Commodity Weather Data Scientist to join our London-based Commodities Research and Analytics team. We are developing a weather analytics and forecasting platform, along with a geospatial platform to manage scientific weather datasets, provide custom services, and advanced analytics for our Commodity investment teams.

Key Responsibilities
  • Develop and maintain advanced weather analytics products, focusing on temperature, precipitation, and wind patterns critical to commodity markets.
  • Produce and maintain maps, visualizations, 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 expertise in geospatial analysis.
  • Contribute to the technical build of the platform, expanding data access toolkit, addressing data quality challenges.
  • Assist in the identification and prioritization of potential analytics projects and products which could add to business value.
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.

We are looking for a data-driven innovator ready to take on the challenge of predicting the unpredictable and making a tangible impact on commodity trading by harnessing the power of weather data.

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