Weather Data Analyst

3 weeks ago

London, Greater London, United Kingdom Balyasny Asset Management L.P. Full time
Overview

Balyasny Asset Management L.P. is seeking an experienced Weather Data Scientist to join 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.

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 your expertise in geospatial analysis
  • Contribute to the technical build of the platform. Expand 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

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