Weather Data Analyst
4 weeks ago
Balyasny Asset Management L.P. is seeking an experienced Weather Data Scientist to join our London-based Commodities Research and Analytics team.
Key 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 and addressing data quality challenges.
- Assist in the identification and prioritization of potential analytics projects and products which could add to business value.
- 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.
- 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.
Balyasny Asset Management L.P. is a leading global investment firm that leverages cutting-edge technology and data-driven insights to drive investment decisions. We are committed to fostering a culture of innovation, collaboration, and excellence, and we are seeking a talented Weather Data Scientist to join our team.
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