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#81
09-04-2016, 12:49 PM
 JohnLocke Member SOA Join Date: Mar 2007 Posts: 16,597

Quote:
 Originally Posted by Gilgamesh What does EL stand for? I'm finishing a MS Stats because when I graduated with my BS, I could not find actuarial employment so I sort of took a detour. Now I'm considering giving actuarials another try. Do you have any advice on how to explain this to an employer? I feel that if I said this in a job interviewer, it would appear that I was uncertain about what I wanted to do.
EL = entry level.

Others will probably disagree but I like the honest answer here. Just saying you weren't able to enter the actuarial field so you got an MS to explore other options and gain more qualifications but you are still interested in entering the field if you can find the right position. Then, demonstrate this by showing that you are sitting for another actuarial exam.
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#82
09-04-2016, 01:11 PM
 FactuarialStatement Member CAS AAA Join Date: Oct 2012 Studying for 5 Favorite beer: Beer Posts: 2,117

If you have a master degree in stats, and you actually learned a few things about machine learning and hierarchical bayes while doing that degree, then you can do a hell of a lot beter than EL actuarial role.
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#83
09-04-2016, 03:18 PM
 clarinetist Member Non-Actuary Join Date: Aug 2011 Posts: 6,888

But $I(\text{Flight Risk}\mid \text{MS Stats})=1$.
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#84
09-05-2016, 09:27 PM
 WickedE SOA AAA Join Date: Apr 2016 Posts: 20

I have a MS in Stat. I will say it didn't necessarily help me landing an interview. But it did help me to connect with my interviewer, who happens to have a MS. My boss later told me, the additional degree probably didn't help me to get the job, but it will become more important as you move up the ladder.
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#85
09-06-2016, 11:21 AM
 whoanonstop Member Non-Actuary Join Date: Aug 2013 Location: Los Angeles, CA Studying for Spark / Scala College: College of William and Mary Favorite beer: Orange Juice Posts: 5,965 Blog Entries: 1

Quote:
 Originally Posted by FactuarialStatement If you have a master degree in stats, and you actually learned a few things about machine learning and hierarchical bayes while doing that degree, then you can do a hell of a lot beter than EL actuarial role.
The statistics degree is likely not to be focused on the topics you mentioned. However, I've striked out some words to make the statement more general.

Good buzzword usage though.

-Riley
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#86
09-06-2016, 11:51 AM
 Winston Member Non-Actuary Join Date: Mar 2014 Location: Oceania Studying for Newspeak College: Ministry of Truth Favorite beer: Victory Gin Posts: 256

Quote:
 Originally Posted by WickedE but it will become more important as you move up the ladder.
Go on...
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#87
09-06-2016, 11:59 AM
 FactuarialStatement Member CAS AAA Join Date: Oct 2012 Studying for 5 Favorite beer: Beer Posts: 2,117

Quote:
 Originally Posted by whoanonstop The statistics degree is likely not to be focused on the topics you mentioned. However, I've striked out some words to make the statement more general. Good buzzword usage though. -Riley
Well the degree may not be 'focused' on those areas but you can learn them while doing your degree, it depends on the department you are in and how much initiative you take to branch off from the curriculum.

I agree with the edit generally, the only problem is convincing the employer that you have the skillz. That is, if you are able to get past HR who may be screening those without advanced degrees. If you are trying to get these roles in insurance, then even after HR there is a good chance that you will be interviewing with some actuary and product people who don't have a clue about these methods and won't know how to judge your abilities, so will rely on indicators like the degree or prior work history. For a person without the advanced degree (like myself btw), you will have a better chance putting out some flags on your resume (i.e. talking about methods in your job history bullets), having a Git with some of your work, and interviewing at a tech company where they have competent people who know how to assess these skills (you will likely be given some tests to perform pre-interview and on-site, plus will be grilled on methodologies by at least 1 interviewer). IMO, if you interview for these roles and aren't tested in any way, that is a red flag.
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Last edited by FactuarialStatement; 09-06-2016 at 12:02 PM..
#88
09-06-2016, 12:05 PM
 FactuarialStatement Member CAS AAA Join Date: Oct 2012 Studying for 5 Favorite beer: Beer Posts: 2,117

Quote:
 Join me in Machine Learning / Data Science Read-Throughs
Plz edit sig, too much buzz word usage
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#89
09-06-2016, 12:35 PM
 whoanonstop Member Non-Actuary Join Date: Aug 2013 Location: Los Angeles, CA Studying for Spark / Scala College: College of William and Mary Favorite beer: Orange Juice Posts: 5,965 Blog Entries: 1

Quote:
 Originally Posted by FactuarialStatement Plz edit sig, too much buzz word usage
You still appear to be in p-value and explained variance world, so your usage of the terms are indeed, as buzz words.

Feel free to join in on learning something about the words you're using though.

-Riley
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#90
09-06-2016, 12:38 PM
 whoanonstop Member Non-Actuary Join Date: Aug 2013 Location: Los Angeles, CA Studying for Spark / Scala College: College of William and Mary Favorite beer: Orange Juice Posts: 5,965 Blog Entries: 1

Quote:
 Originally Posted by FactuarialStatement I agree with the edit generally, the only problem is convincing the employer that you have the skillz.
All I'm saying is that a MS in Statistics does not indicate any knowledge of Machine Learning or Hierarchical Bayes. Not many programs have been formalized around these concepts.

Quote:
 Originally Posted by FactuarialStatement IMO, if you interview for these roles and aren't tested in any way, that is a red flag.
Agreed. I've yet to see an actuarial role ask any questions on the above.

-Riley
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