The financial and actuarial worlds have a lot of people with a variety
of motivations, but generally speaking this sounds like a project
which you would need to dedicate a few decades into, probably picking
up more people for your team as you go.

That said, it's probably also worth pointing out that the financial
world itself is in the process of changing.  Once upon a time (not
long ago), Econ 101 taught about "the efficient market hypothesis".
But that hypothesis turns out to be mathematically implausible for the
general case (there can be specific contexts where it's approximately
true, but those contexts would be restricted artifacts of
regulations). [Other economic concepts -- supply and demand,
bookkeeping, etc. etc. still have validity, but markets tend towards
inefficiency, and that spells opportunity for people who understand
what needs to get done and have the drive to help make it happen.]

In that context, J can only be a tool. A useful tool, but ultimately
financial people have to be problem solvers -- shipping,
manufacturing, agriculture, forestry, etc. etc. -- finance is sort of
like the nervous system that wires these systems together.

Anyways.... for your students, I'd start by taking a look at the tasks
assigned to them by other professors, and seeing what J can do to make
the concepts clearer, and take them further. (Personally, I have some
fondness for J's support of linear algebra, though there's plenty of
other supported concepts also. Bayesian statistics obviously. And if
you throw in Jd, you've got support for relational algebra.  Etc.)

But I guess my point is that you've asked a very broad question, and
anything useful is going to have to be quite a bit more specific.

Thanks,

-- 
Raul

On Sun, Jul 21, 2019 at 7:52 PM William Szuch <[email protected]> wrote:
>
> I am trying to introduce J to financial and actuarial students in Australian
> universities.
>
> Any suggestion most welcome.
>
>
>
> I have been told that this is an uphill battle as Python and R dominate the
> landscape.
>
>
>
> Also there is a strong focus on data analytics in the actuarial programs and
> work focus.
>
>
>
>
>
> Bill Szuch
>
> ----------------------------------------------------------------------
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