The Role
The Weather Analyst will conduct applied research within the commodities trading desk, focusing on atmospheric predictability and leveraging data such as gridded, observational, and satellite data. The role requires strong programming skills in Python for data analysis, along with expertise in meteorology and machine learning techniques.
Summary Generated by Built In
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
- Machine learning experience, especially applied to weather, is beneficial
- 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 [email protected].
Top Skills
Python
The Company
