Senior Weather Analyst/ML Researcher

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

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.