The Full Story

I'm Crystal! I studied Mathematics at Johns Hopkins University (B.A.) and Math Education at Harvard (M.Ed.). After Harvard, I taught (generally) high school math for a bunch of years and tutored from pre-K to GMAT candidates. 


Teaching was super amazing, but leaving teaching was even better. Too stressful! However, I still appreciate the value of communicating complex ideas in different ways. I am still rather passionate about education and continue to tutor part-time and on a volunteer basis. 


I moved into the actuarial field a few years ago, starting in retiree health consulting. As as an entry-level applicant with no industry experience, I was pretty open to any employer that would have me :). But I am quite grateful I ended up where I did. In consulting, I got to see various applications of actuarial work which was great since I didn't even know that an actuary was a thing until 2010.


Also my co-workers were super knowledgeable and helpful (shouts to Harvey, Frank, and Barry). Also, I got to work in healthcare, which was awesome, and in New Jersey, which I believe is widely acknowledged as the greatest place ever. 


I completed my FSA in 2015 and moved into healthcare analytics shortly thereafter. Analytics is super amazing, so to have more opportunities in that field, I started looking into P&C options, too. I completed my FCAS in 2017, and currently work in predictive modelling for a P&C insurer.


In the spare time I have left to me after Pokémon/ board games and showering love onto my nieces Nia and Zara, I enjoy doing things related to education. During college application season, I volunteer as an interviewer for prospective Harvard kids.


When we were still allowed outside, during the school year, I taught math for NJ SEEDS, a program that focuses on tutoring and mentoring advanced students in under-performing schools. As a CAS liaison, I also work with a couple of local universities/ secondary schools to spread the word about the joys of actuarying. 


- Crystal Garcia, FSA, FCAS

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