# ANN: JuliaActuary

**URL:** <https://discourse.julialang.org/t/ann-juliaactuary/31996>\
**Category:** Finance and Economics\
**Created:** [December 8, 2019, 1:58am UTC](https://discourse.julialang.org/t/ann-juliaactuary/31996 "2019-12-08T01:58:00Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Alec\_Loudenback](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/alec_loudenback/32/278_2.png) [@Alec\_Loudenback](https://discourse.julialang.org/u/Alec_Loudenback)\
**Post date:** [December 8, 2019, 1:58am UTC](https://discourse.julialang.org/t/ann-juliaactuary/31996/1 "2019-12-08T01:58:00Z")

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I have created a GitHub organization to focus on extending Julia functionality into the actuarial domain:

[https://github.com/JuliaActuary](https://github.com/JuliaActuary)

I think there’s a lot of untapped potential to use Julia in the Actuarial profession given the amount of data and the heavy computational workloads. Right now R and Python are more common, though one of the headline Julia case-studies is an [insurer using Julia](https://juliacomputing.com/case-studies/aviva.html).

There’s a good deal of overlap (and collaboration to be had) with [JuliaFinance](https://github.com/JuliaFinance), but a separate work-stream would be helpful to focus on the following:

- Mortality Table manipulation (e.g. [MortalityTables.jl](https://github.com/JuliaActuary/MortalityTables.jl))
- [Actuarial maths/functions](https://en.wikipedia.org/wiki/Actuarial_notation) (e.g. [ActuarialScience.jl](https://github.com/JuliaActuary/ActuarialScience.jl) )
- Liability Modeling
- Capital/Risk Calculations
- Claims/Experience Analysis
- etc.

I have been playing around with implementations of things as I Iearn Julia and computer science techniques, but would welcome any help (actuarial or otherwise). I have also created the #actuary Slack channel in the Julia discourse.

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**Author:** ![Lewis\_Fogden](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/lewis_fogden/32/12879_2.png) [@Lewis\_Fogden](https://discourse.julialang.org/u/Lewis_Fogden)\
**Post date:** [February 16, 2020, 10:52pm UTC](https://discourse.julialang.org/t/ann-juliaactuary/31996/2 "2020-02-16T22:52:05Z")

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Hi, thank you for posting this - I’m an actuary and have been a pretty avid Python user for modelling, but can see the potential power of Julia.

I’m currently experimenting with developing a heavy cashflow model (that can replicate excel models). Once I have worked out memoization I will post a small example.