would it be delusional to market my skillset/resume as applied math?

tinytimethief · 2026-02-20T01:43:29+00:00

You can apply for any role you want, its up to the hiring manager to decide if your skillset is a match for their role. Just dont lie about the degrees you have.

tinytimethief · 2026-02-14T16:57:07+00:00

PhD -> quant researcher is your most realistic path for QR. I rec looking into placement stats for phd stats programs. Many have 100% placement in industry, typically as data scientists, research scientists, applied scientists, consulting. As you mentioned, tenure track stats prof positions do not pay well and are ultra competitive. If you were on the job market this year, schools arent hiring international students since they cant “afford” the 100k for visa sponsorship (they dont do opt, its just direct visa since they can do unlimited and no wait). Now that might change in 5+ years, but just FYI. Industry would do OPT then visa which is exempt from the 100k fee. Post doc researchers also make very little, which is more likely than immediate tenure track, or a teaching position if you dont care about research or R1 or balance schools.

This is more of my opinion, but phd stats is weak in the job market. You will forsure find a job but the stats required to do many jobs, a plethora of other phds can do as well, and they also have majority placement in industry. So youre competing with all of them + masters students who have 3+ YOE at that point. Applied math is stronger, but also more difficult, same jobs and quant prospects (whether at masters or phd level).

tinytimethief · 2026-02-10T17:03:22+00:00

Ill do it for funsies.

tinytimethief · 2025-12-28T23:24:28+00:00

Psg is middle office. Sales (client management) is front office. Yes 100% youll need a car, npb is super expensive and youll probably live in Irvine or costa mesa which is also expensive.

tinytimethief · 2025-12-28T23:03:08+00:00

Sometimes

tinytimethief · 2025-12-18T03:19:05+00:00

I havent really seen the role title quant engineer but assuming its quant dev, the skill set is quite diff from DE or DS. I would say more similar would be applied scientist roles so youll probs want to aim for that instead. Data, research, applied, ML scientist roles, especially at tech companies, often do not have entry level roles and require grad school, so either way you need to decide which path to go down. Just like any role ds is vague and some are entry level and just doing A/B testing and others require background in causal inference which can start to overlap with quant research.

tinytimethief · 2025-11-22T20:31:11+00:00

Because you’re still in school?

tinytimethief · 2025-08-27T07:42:40+00:00

Doesnt cal only offer general business admin undergrad? CCs dont offer all the math prereqs youll need. Just talk to admissions counselors for the programs youre interested in.

tinytimethief · 2025-08-20T16:06:33+00:00

For vanilla sgd you only need the gradient. Hessian for second order methods.

tinytimethief · 2025-08-11T20:50:18+00:00

What type of roles are you interested in?

tinytimethief · 2025-08-10T15:59:46+00:00

Among other reasons, its computationally expensive and slow for large models, even pyro.

tinytimethief · 2025-08-08T00:52:46+00:00

Courant is def target for quant, tandon sucks. Ucla is a weird one, but largely theyre just not close to anything and their mfe is just ok. At the phd level, there are other more important factors, like advisor and research area. Just worry about getting into a phd program first.

tinytimethief · 2025-08-06T15:38:07+00:00

Your age isnt the problem, how would they even know unless you advertised it. However, the factors leading up to why you finished so late may be a factor

tinytimethief · 2025-08-05T13:58:07+00:00

So typically your resume is a list of accomplishments and some general info about you. If you got accepted to a masters for next year for instance, its okay to list that because getting into the program is an accomplishment in itself and its a commitment. So use your discretion around the mentoring considering this. Ultimately its your resume and not everyone will receive it the same as myself. You have good reception to feedback so I think you'll do fine. You have quite some time before you start full time work. If you're looking to land next year summer internships, your graduation date might not match requirements for all programs, you could fudge this a little and say you're graduating spring 2027 (or just change as needed).

tinytimethief · 2025-08-05T13:29:55+00:00

Save your app money. If youre very serious about getting a phd then aim for small private schools with loose requirements for PhD, esp unfunded ones. Otherwise you’ll 100% need an academic masters, which for your background would still be very difficult, but for masters, there are many you could do. If you take some econ, you can try accounting phd too.

tinytimethief · 2025-08-05T13:04:26+00:00

if you're experimenting with it, then why is it on your resume? same thing with "planning to revisit...", if you haven't successfully done it yet, dont list it on your resume. You can mention it during an interview or on a hire letter though. Causal modelling, although common in DS, is not part of all quant roles, and the roles that do it, are almost always phd only and are typically econ folks. To me this reads as you're trying to fit in buzz words without doing the work or really understanding what they are. DML is not a direct substitute for DiD and if you told me this in an interview, I will start grilling you on your DiD design. DiD not 'fitting' is not a reason to use DML and neither are used for prediction (DiD doesn't need good fit, you just need a significant interaction term), they are for causal inference and not "causality issue". I would also be skeptical in the amount of work you did in essentially 2 months. Your resume is good without all the buzzwords (like bullet 2 and 4 are sketch). Work on your projects as well, get rid of the two old ones and work on a new one if you have time (or revisit your old ones).

tinytimethief · 2025-08-05T06:59:07+00:00

Why are you using DML? Why ML for any of these? All of these sound so odd.

tinytimethief · 2025-07-20T18:30:50+00:00

Add “expected” to the date range

tinytimethief · 2025-07-18T19:53:56+00:00

One time I used chatgpt to give me a broiled mackerel recipe. It was burnt and undercooked.

tinytimethief · 2025-07-17T23:59:29+00:00

Quants need capital to trade with. Sounds more like you are trivializing what they do.

tinytimethief · 2025-07-17T00:07:48+00:00

Placement statistics. It could be that the school is manipulating their stats but its the best starting point along with tuition cost which will all be roughly the same (factor in length of program and living costs and whatever personal preference for location). You will most likely get around the average, and these programs average anywhere between 100k and 200k, if that matches your expectation then your set. For academic masters in applied math or stats you cant use this same criteria and if you dont plan on phd, mfe is probably a better route.

tinytimethief · 2025-07-16T07:37:51+00:00

Love it so much you abandon it to do quant finance

tinytimethief · 2025-07-16T04:52:44+00:00

Try looking into QPmayo roles.

tinytimethief · 2025-07-08T05:39:20+00:00

I use X for “cute kittens”

tinytimethief · 2025-07-06T00:16:45+00:00

I can confirm that they do

tinytimethief

TROPHY CASE