Senior Weather Analyst/ml Researcher

Jane Street Jane Street · Quant · London, United Kingdom · Quantitative Trading

Research role focused on applied research in weather prediction, embedded within a commodities trading desk. Requires strong programming skills (Python), expertise in atmospheric science topics, and experience with AI models. The role involves challenging the limits of atmospheric predictability and exploring new research directions.

What you'd actually do

  1. work on applied research on our weather team, embedded within the commodities trading desk
  2. challenge the limits of atmospheric predictability
  3. push in new and unknown directions while maintaining clarity of purpose

Skills

Required

  • Masters degree in Atmospheric Science or related field
  • Python programming
  • sub-seasonal predictability
  • data assimilation
  • numerical weather prediction
  • tropical variability
  • synoptic meteorology
  • renewable energy forecasting
  • gridded data analysis
  • observational data analysis
  • satellite data analysis
  • quantitative research
  • English fluency

Nice to have

  • AI models

What the JD emphasized

  • Must be a strong programmer
  • Experience with AI models preferred
  • Have good taste in research
  • challenge the limits of atmospheric predictability
  • push in new and unknown directions

Other signals

  • applied research
  • commodities trading desk
  • atmospheric predictability
  • new and unknown directions