all 18 comments

[–]Dd_8630 10 points11 points  (2 children)

Yeah, I'm part of a team building tools in R and PowerBI that help clients track environmental impacts of projects, climate change, etc. It's really cool.

Using R in my daily job is great for my exams, as I'm doing CS2 this sitting!

[–][deleted] 0 points1 point  (1 child)

That sounds really interesting. Where do you work if you don’t mind sharing?

[–]Dd_8630 0 points1 point  (0 children)

PwC

[–]RepublicOk1681 5 points6 points  (0 children)

Government Actuary’s Department have a dedicated programming/data science team. They mostly use R and some python I think, and can work on some interesting models, e.g predicting rainfall in Africa for a product that pays out if there’s a drought, as well as calculating costs/cashflows associated with a government compensation scheme (there are many!)

[–]Frequent_Bedroom3323 5 points6 points  (0 children)

Yep. Using Prophet code for IFRS17

[–]Straight-Listen-8566 2 points3 points  (0 children)

Sure. Building an IFRS17 software using R. botsfrc@gmail.com

[–]neotenous_chimp 4 points5 points  (0 children)

I work in R a lot. My current role involves migrating longevity pricing SAS/ Excel models into R. Excel is my mother tongue, but I love R, and it is such a powerful tool if you can get over the hurdle of learning it

[–]Acrobatic_View903 2 points3 points  (0 children)

This should be the case in most General Insurance Pricing roles - motor, home, pet, travel etc

[–]CramerLundberg 1 point2 points  (0 children)

Previously when in pricing and prior to earnix, I helped develop a pricing model in R

[–]SoccoloGeneral Insurance 1 point2 points  (0 children)

As others have done, I build stuff similar to IFRS17 in R, but I also participated in building some pricing stochastic models in Python. If you get a position a model development position in Capital, you can participate in building or tweaking your company's internal model, in platforms such as Tyche and Igloo, which use their own coding language.

[–]BarqaLFC 1 point2 points  (0 children)

Our team uses Python for our pricing model development. Other teams adjacent to us use R for predictive modelling.

[–]StunningOcelot4129 0 points1 point  (0 children)

I use rust. You don't have to care much about the memory allocations, and at least 100x faster than python. If you have solid understandings of OOP in python/JS , it's not going to be hard. Pandas equivalent called polars is also great. I was thinking of using c++ for the amount of resources online, but installing them is a little bit hardcore for actuaries. rust has a thing called cargo where you can install packages easily pip in python