Senior Weather Analyst/ml Researcher

at Jane Street · Quant · New York, NY · Quantitative Trading

Applied research role on a weather team, embedded within a commodities trading desk, focusing on atmospheric predictability challenges. Requires strong Python programming and expertise in atmospheric science topics, with AI model experience preferred.

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

  • Atmospheric Science
  • Python programming
  • data analysis
  • sub-seasonal predictability
  • data assimilation
  • numerical weather prediction
  • tropical variability
  • synoptic meteorology
  • renewable energy forecasting
  • gridded data
  • observational data
  • satellite data
  • quantitative research

Nice to have

  • AI models

What the JD emphasized

  • Must be a strong programmer
  • Have good taste in research

Other signals

  • applied research
  • commodities trading desk
  • atmospheric predictability
  • AI models preferred
Read full job description

About the Position

We are looking to hire a strongly motivated individual who is excited to work in a fast paced, collaborative environment. We are looking for someone who wants to work on applied research on our weather team, embedded within the commodities trading desk. We invite graduate students nearing graduation, both early career and experienced academics, and industry professionals to apply.

About You

  • Masters degree (minimum) in Atmospheric Science or related field
  • Must be a strong programmer, with excellent python skills for data analysis
  • Expertise in relevant topics such as: sub-seasonal predictability, data assimilation and numerical weather prediction, tropical variability, synoptic meteorology, renewable energy forecasting
  • Experience using gridded data, observational data and satellite data to drive quantitative research in academia or industry
  • Experience with AI models preferred
  • Have good taste in research. The problems you will work on will aim to challenge the limits of atmospheric predictability. You should be comfortable pushing in new and unknown directions while maintaining clarity of purpose
  • Think and communicate precisely and openly. We believe great solutions come from the interaction between diverse groups of people across the firm

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.