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Internship that made me rethink my career...(technology summer analyst at Goldman Sachs)
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Internship that made me rethink my career...(technology summer analyst at Goldman Sachs)

Tina Huang 17.01.2021 307 501 просмотров 7 856 лайков обн. 18.02.2026
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I worked on data science although I interviewed as a software engineer. This is my experience as a technology summer analyst at Goldman Sachs. Spoiler: I did not really like it tbh 🔗Affiliates ======================== 365 Data Science: https://bit.ly/3tIUBCY (link for 57% discount for their complete data science training) Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina Google Data Analytics Certificate on Coursera: https://bit.ly/33tYQYA 🎥 My Filming Setup ======================== 📷 camera: https://amzn.to/3LHbi7N 🎤 mic: https://amzn.to/3LqoFJb 🔭 tripod: https://amzn.to/3DkjGHe 💡 lights: https://amzn.to/3LmOhqk ⏰Timestamps ======================== 00:00 Intro 00:17 How I asked to work in data science 01:20 Orientation 01:52 Real orientation schedule 02:25 Start of uh oh 04:32 Start of work 05:08 My project (data retrieval + ML) 07:20 More uh oh 08:32 ML details 10:00 Presentations 10:15 Why did I not come back 12:10 Reflections 📲Socials ======================== instagram: https://www.instagram.com/hellotinah/ linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX 🤯Study with Tina ======================== Study with Tina channel: https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGw How to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrI Scoreboard website: scoreboardswithtina.com livestreaming google calendar: https://bit.ly/3wvPzHB 🎥Other videos you might be interested in ======================== How I consistently study with a full time job: https://www.youtube.com/watch?v=INymz5VwLmk How I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s 🐈‍⬛🐈‍⬛About me ======================== Hi, my name is Tina and I'm a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn't know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech :) 📧Contact ======================== youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: hellotinah@gmail.com ======================== Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :) #GoldmanSachs #TechnologySummerAnalyst #DataScience #TinaHuang

Оглавление (12 сегментов)

  1. 0:00 Intro 55 сл.
  2. 0:17 How I asked to work in data science 225 сл.
  3. 1:20 Orientation 109 сл.
  4. 1:52 Real orientation schedule 115 сл.
  5. 2:25 Start of uh oh 430 сл.
  6. 4:32 Start of work 151 сл.
  7. 5:08 My project (data retrieval + ML) 481 сл.
  8. 7:20 More uh oh 262 сл.
  9. 8:32 ML details 321 сл.
  10. 10:00 Presentations 63 сл.
  11. 10:15 Why did I not come back 396 сл.
  12. 12:10 Reflections 193 сл.
0:00

Intro

so the first day after we all had breakfast and we're mingling this concept of a hierarchy began to form how did i end up here i applied to a lot of software engineering roles in addition to data science roles because nobody would interview me for data science this particular role was a software
0:17

How I asked to work in data science

engineering role and i got in from doing software engineering interviews so after i got in you go through this team matching process and your resume gets circulated throughout the company and managers would reach out to you to ask you about your interests this was actually the email that i got from the person that ultimately became my manager so i basically told him that i wanted to do data science and he was like oh okay sure we have terabytes of data that's just kind of like sitting there so you can come and try to make something out of it sounds good i want to say that goldman sachs was also so convincing as soon as i received my offer i had multiple people call me ranging from junior to mid-senior level they talked about their work and when i mentioned that i also had an amazon offer they were super nice and talked about all the things i could expect if i came to goldman sachs instead and they also asked if they could introduce me to any former interns were pretty much like anybody i wanted to talk to about their experience compared to my amazon offer where at amazon literally nobody even responded to me so clearly when you compare those two goldman sachs stood out like a star
1:20

Orientation

okay so orientation the internship class of 2019 was huge and there were around 2 000 interns just in north america the headquarters was two buildings one in new york and one in new jersey and it's across this river from each other and you take a 10-minute ferry ride across there were actually a lot of days where i was faring back and forth between the two buildings so my internship was in the newark office but there were people from all over the state and they flew everybody into new york new jersey to attend orientation i actually dug up the orientation schedule to show you guys
1:52

Real orientation schedule

we were in this huge auditorium i wish i still had the photos that i took but just imagine we had this we all had this name tag and the division we worked at and our roles which for me was securities division as a technology summer analyst it was absolutely breathtaking and i was just so excited to be there are rows and rows of business casual people and fancy food on the sides we also had these senior people welcome us to the internship and talk about the work they did and all the exciting new ventures that goldman sachs was leading i remember feeling just incredibly excited and lucky to be there
2:25

Start of uh oh

now with that being said though looking back now i also remember having a pretty vivid memory that turned out to be some high quality foreshadowing so the first day after we all had breakfast and we're mingling this concept of a hierarchy began to form i've never done anything in finance before so i had no idea about this but after going through these initial conversations i learned that people in sales and trading and investment banking had their own orientations which were quote unquote far fancier and got them more fancy presenters and more fantasy activities i remember thinking okay well i don't really mind since i'm just here to enjoy my internship and i still can't believe that i'm even here so his orientation continued on and i went to the engineering trainings by the way i completely forgot what community teamwork was but it was in these engineering trainings in the securities overview this hierarchy concept kind of showed up again the interns of the securities division were split into two major groups of people there were these strats and they were the engineers for those of you that don't know strats are people who are the ones like modeling risk writing algorithms and analyzing data they are also the ones that sat the closest to the trading tables and as i later learned apparently the closer you are to the trading table the more prestigious it is so i guess like the most prestigious would be the trading people and then it would be the strats i was doing data science which kind of sounds more like a strap role but i was technically part of the engineering group since i interviewed as an engineer but anyways these two groups of people began to form because it was plain as day that the strats got more trainings got more prestigious people talking to them and were invited to attend more events like dinners and talks so at this point i was like getting these bad vibes you know like if you've ever been in a situation where there's clearly a hierarchy it kind of feels shitty being at a bottom because you can just you know sense that and honestly i feel like even if you're higher up the vibe is probably just always like climb higher and even if you're at the top it's always about prestige you get what i need but whatever i told myself to just brush it off and again i'm here to learn and to enjoy my internship so
4:32

Start of work

now it was time to hit the desk after orientation we all hit the desk on june 5th i was super excited because i chatted with my manager on the phone and i really enjoyed talking to him i was also a sign of buddy who was one of the more junior people on the team let's call my manager james and we can call my buddy stephen so i met james and steven and they introduced me to the rest of the team and my workstation by the way the floors are set up in like these long roads it's basically this open workspace with long rows of computers and then you also have these like side offices for mds where like the marketing directors the more senior people so steven kind of showed me around and later in the day i had a meeting with james to talk about
5:08

My project (data retrieval + ML)

my project and timelines my overarching project was to create a model that could detect and predict anomalies in the bank's liquidity liquidity is cash that the banks have to maintain at all times following the 08 financial crash the liquidity is always changing as traders book trades and new projects are being funded and different sources of revenues are flowing in the whole idea is that if there's too much liquidity or just cash sitting there the bank is losing money because they could be investing it in something that makes them more money and if there's too little liquidity that would be very bad because by law they need to maintain this certain amount of liquidity at that time the liquidity was managed in a very manual way and a portion of team's work was essentially to frantically call different divisions of different teams whenever the liquidity dipped were spiked just to try to figure out where it was coming from so they can report it to upper management my job was to create a model that could detect these anomalies and pinpoint them to the source and even better if i could predict when these spikes and dips would happen so before i did that i needed to actually get the data and that is to be done with scala a java based programming language for apache spark i won't get into too much technical detail here but i basically had to get the data using this native scala language i didn't know any scala so i spent about a week purely learning it and then the next like three to four weeks i would say uh creating the functions to retrieve the data and wrangle it appropriately during this first month and a half or so i also attended talks and had these coffee chats with lots of people around the company this is when you go for a walk for 30 minutes or so and you can ask them about their work goldman sachs or gs as everybody called it is a huge company with a really complex internal structure so it was really interesting talking to all these people and trying to understand what people do most people responded to my messages and were really nice and talked to me about the company and their work and pretty much any other questions that i had i really enjoy these meetings and learning about finance since i didn't have any finance background i also really enjoyed working with my team and became good friends with a couple of the people that sat close to me and a few strats that were at the orientation we would always grab coffee together at the cafe that was also in the building so overall i was really enjoying the learning and i had made some friends but once in
7:20

More uh oh

a while i would hear about these like exclusive events and dinners with md's for strats and even more so for sales and trading people and investment banking and i'm not gonna lie little by little it did kind of bother me my friends obviously never rubbed it in or anything but sometimes they and other people that i would occasionally talk to would just be talking about all these cool things that they got to do and how their mds would take them out all the time and give them advice you know etc it feels bad man i also learned that a lot of people in engineering try to eventually come back as a strat or whatever of course some don't but i assume it's the people that care about prestige that do again not gonna lie back then i cared a lot more about prestige because i think i was a lot more insecure about my abilities and didn't really know what to do with my life so prestige was a way to prove to myself and others that i was doing well but in this case instead of me wanting to you know become a strat and try to network myself into these events and things it was actually kind of off-putting for me because i didn't want to work in an environment where it's just always about more prestige i got the sense that people really cared more about the prestige than what they were even working on so yeah that's kind of was all going on
8:32

ML details

the side but back to the actual work about halfway into the internship i had the data retrieved and wrangled i then started to work on making that model to detect liquidity anomalies it had to be an unsupervised model since we didn't have labels for the data luckily though there was this more senior vice president with vp let's call him frank he was on a team and he was very knowledgeable and was also super helpful so even though i was doing an unsupervised model whenever i saw spikes where dips in the data he kind of acted like a human anomaly detector labeler person and told me what he knew happened on those days so in this way i could roughly tune the model based on the events that frank told me had happened and try to remove the noise of the day-to-day i did lots of different data transformations including taking into account seasonality in the data and i also used a bunch of different unsupervised models i eventually settled on a hybrid that was based on isolation forest sounds fancy right but i want to make a note before this internship i hadn't really touched ml before so i had lots and lots of help from mostly my buddy steven he had a data science master's degree and worked as a data scientist for several years before steven is really one of the most awesome people and is incredibly intelligent yet also really kind and helped me out so much even though he had so many things to do himself as well he really guided me through this project james my manager had less data science experience but was also incredibly kind and helpful and he always made time for me when i asked for it and he just generally had my best interest at heart so now we're nearing the end of the internship i
10:00

Presentations

presented my work to the team and the adjacent teams afterwards i also presented to the md of my division over a call this was also the first time i actually talked to my md um but he liked my work and told me to write an executive summary which i did so why did i not come back i had a lot
10:15

Why did I not come back

of mixed feelings but i was absolutely certain that i wasn't gonna come back it's funny right the most the more strategic thing for me is to try my best to get a return offer so i have a safety net in case i don't land a full-time job but i was like nope i refuse and i actually told my manager that i didn't want to come back okay so let me actually get into why i didn't want to come back and how it dramatically fundamentally changed my career path so much so that i decided of applying and interviewing for management consulting roles for full-time number one i cannot stand the hierarchy and the obsession with prestige and titles it was just so off-putting to me and i had no intention of spending the majority of my time worrying about those things and networking myself into higher circles instead of focusing on doing the work that i enjoy i realize that management consulting is very much about this as well but i thought i could handle it better if i enjoyed the work i was doing which leads to my second point number two my work was very intellectually stimulating and i spent most of my days thinking about the model and coding with very few interactions with people so by the first month i was really craving human interaction and that's why i would go for a coffee with a friend every single day and i would also go to a bunch of talks just to get my fix what i realized doing the type of work i was doing is that i really thrive on teamwork and two of my biggest strengths are communication and like big picture business idea generation and strategy and these two things i had close to zero and three i became great friends with several people on my team and the more i chatted with them the more my personality and passions and i guess like aspirations came through they were actually the ones that were gently suggested to me that this company and this role is probably really not suitable for me not because i couldn't do the work but because it just wasn't the type of work that i enjoyed doing they were also the ones that gave me the idea of management consulting
12:10

Reflections

overall i can say that this was a pivotal internship where i learned so much about myself i realized i really liked the people on my team and i actually still keep in touch with them especially my buddy and the friends that i made but it also made me realize the things that mattered to me and helped me find direction in my career path i think this experience also shows my personality a lot in retrospect it was definitely the smart thing to do to play it safe and you know not just tell people that i wasn't going to come back since afterwards i actually failed all but one consulting interview before desperately applying to more business aligned data science positions and where i got my current job offer i very well could have ended up with nothing luckily my story did have a happy ending but still do as i say not as i do well i hope you guys enjoyed the story of my goldman sachs internship experience and found it i don't know helpful insightful well thanks for watching and see you guys in the next video

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