Hi! My team at Moody’s (London Office 
) is hiring a tropical cyclone modeler 
. The job description mentions 
but I must warn that our main workhorse is the R language. I personally use julia in my explorations, some of our components are in fortran, and some teams use julia more heavily than us for their modeling. In my experience, this team is very open to suggestions that could improve our models and processes.
- We are looking for: A physical scientist with knowledge of atmospheric physics or a statistician.
- Level: Ph.D., but masters with relevant experience can be considered.
- What do we do? We model the risk posed by tropical cyclones in many regions. As such we maintain and develop models for tracks, wind fields, and landfalls, among others. Because we want robust statistics and we need to do thousands of simulations, our models are mainly statistical but the design is informed by the science of tropical cyclones and the models are typically driven by climate data like reanalysis, so the job involves being up-to-date with the scientific developments of the TC world and some papers have come out of our research. A flavor of the work we do can be seen in this paper, which comes from our team.
- The team: We are a team of ~10 scientists (a mix of statisticians and atmospheric scientists) within a larger group of modelers of risks related to: severe convective storms, winter storms, tropical cyclones, earthquakes, and cyber risks. We are around 70 in London and around 200 considering other offices.
(apologies if the mods consider this is not fitting)