For my dream job, I definitely would prefer quantitative-heavy positions such as machine learning engineer or quantitative analyst as opposed … We would like to show you a description here but the site won’t allow us. Urgently looking for recent PhD graduates to join a Quant Research group at a top HFT firm in New York $150,000-$350,000 in total compensation Key Qualifications: • PhD in Math, Computer Science, … Recently I’ve been looking at more applications for ML and data science and one that I saw was Quantitative Finance or “Quant Finance”. What is a Data Analyst? In addition, if you don't ever become a quant trader, your skillset should be enough to get a job as a data scientist / software engineer etc. Focus on getting a finance adjacent position. 90K subscribers in the quant community. But if you're going into data science and haven't taken any CS courses … By "quant" I mean quant research roles, which has very little overlap with "quant trading" or "quant dev" (sometimes these roles are mislabeled; a "quant trader" at Tower is actually a quant researcher). I'm a software engineer who's thinking of making a career change. senior data scientist) is pretty rare outside Big Tech or large international banks in high COL areas. (4. A space for data science professionals to engage in discussions and debates on the subject of data science. All that being said, these are two very different career paths that suit different personalities. A space for data science professionals to engage in discussions and debates on the subject of data science. ) some quants also spend quite a bit of time on data management. jobs over the years and I’ve never made an account nor visited the LeetCode site before. Join Erika Barker, a data strategist and AI enthusiast, as she explores the world of quants. I'm not a quant. A space for data science professionals to engage in discussions and debates on the subject of data… • Does a Master's degree and work experience in data science hold any weight when applying for a quant job? • How do recruiters view MSc Data Science degrees from mid-tier universities (even if the … These fields are hardly linked to each other. Data Scientist – what are the differences? Learn everything you need to know about the differences between a Quantitative Analyst and a Data Scientist. That's in terms of actually learning relevant information, but I'm afraid I can't speak for how desirable each degree is for … The "true quants" will dive into the available datasets, potentially creating new ones in the process, transform the data into something useful alongside data engineers and data scientists, and then start … When deciding between a Mac and a PC for data science, it ultimately depends on personal preferences and specific needs. I'm wondering how will AI affect quant… Data science/applied knowledge for quant research interview Assuming I have the probability/math/algs side down, what kind of hands on knowledge should I have for a quant research internship interview … 62 votes, 10 comments. In general, SWE > DS. How does a data science career evolve over 5 years, … I recently got let go a bit unexpectedly (not a performance issue, just downsizing) from an asset management firm in a role that was most similar to a risk quant (some exotics pricing, market impact, … A lot of “quant” labeling can be found in research/analytics positions (like data science/developer as mentioned in the OP), or they could cover quantitative trader which is more of a trading position that … A space for data science professionals to engage in discussions and debates on the subject of data science. That's something to consider career wise. Don't get me wrong, I see how data science can be used and its values but am rethinking my career direction, thinking to work for a few years … We would like to show you a description here but the site won’t allow us. But that's because you really are one of the 21st century's most impactful individuals. Need career advice and a better understanding of the data science side before I make a decision. I’ve taken a liberal definition on what constitutes a quant too (sorry to the purists/snobs/students who don’t include quant devs and quant … When I was working as a data scientist (with a BS), I believed somewhat strongly that Statistics was the proper field for training to become a data scientist--not computer science, not data science, not … Data Science may be another good middle-ground between stats and coding. In general, I'm interested in both and it's hard to say which one more. From what I understand (admittedly never been on the sell-side, let alone a strat), it’s some mix of quant trader and dev, sometimes a quant researcher is in there as … We would like to show you a description here but the site won’t allow us. For that salary range you would likely be a middle to to … It really deppends how good you are. It's easier to teach a PhD scientist how to code "well enough" for Data Science than it is to learn how to be a software engineer. A subreddit for the quantitative finance: discussions, resources and research. Applies Math will likely concentrate on stats and you will have much-much … In this article, we discuss the differences between data analysts and quantitative analysts, and we provide additional information on related careers. at the FAANGs, so there can be a good amount of optionality there … I’m passionate about ML/stat/math, thus I’m always searching for chance to be data scientist or MLE in tech industry. But now I’m emoving to NYC thus fintech/hf/ib seems another option. I basically work on feature engineering and ML techniques to solve business problems (fraud … We would like to show you a description here but the site won’t allow us. Typically in sell-side institutions. Pros - Known to a pretty intensive program which i see as a fun challenge to take up and also try to get in par with the … In the first few years, data science will often be equal or have the edge in salary, and data analytics about the same but a little lower in salary. And for people who state with absolute fact that you need to be a software engineer to be a data scientist, I encourage … Skip to main content Salary by Percentile: Actuaries vs. It is important to distinguish between financial skills and data science skills. This is reminiscent of many quant roles selling themselves as something fancy mathy while in the end being very similar to a data science role. I believe a top recruiter would much prefer a sound knowledge of statistics than pure mathematics. I like the notebook style for scripting and it comes with immense benefits when it comes to data engineering and data science. What most data science roles demand is the ability to communicate with the … I am living in Berlin, Germany, and looking for a Job in Data Science Consulting. I am now looking at way neural netwoks can be used for time series … Has the Actuarial vs Data Science debate changed? 6 months ago, it looked like data science and SWE was the place to be. Qualitative data that is remade into a binary or categorical variable can have regression analysis … I've worked in places where entry-level data scientists earn around 40k. I have also been looking into related jobs and always been confused about what exactly is the difference between a data … A professor from CUHK told me that whether you can successfully find a high-paying job depends largely on your presentation and the way you interact with the interviewer during the interview. Graduated uni last year and 8 months into my job starting with a £28k salary. those required to be a physics PhD. 7M subscribers in the datascience community. truedo these job titles matter? Not really. I get paid … Data Scientist Data Scientists are professionals skilled in interpreting and managing large datasets. Best bet is CS or Maths with computing modules, as firms like Goldman tend to hire a lot from CS. g. #Quantitative trading and #high-frequency trading. I’m a math major with a focus on statistics graduating this year. trueWhat I see in social media so often is underestimating Kaggle and other data science platforms. We have a market data team but they handle things on a firm wide level, most desks have specific needs and that means at least one … These are a few things that personally attracted me to this career: Quant trading is a career that you may be interested in if you are a very quantitative, academic person. The only exception is high end quant finance which is a niche … Would it be a smart career choice to move to data science? I believe I have a strong enough background in optimization/stats/computer science to excel in this type of work. SWE vs Data Science vs Quant I’m a rising junior at a top public university and I’m still unsure as to what career I want to pursue. I also think … Discover the differences between quantitative analysts and data scientists, and how their unique skillsets shape various industries. During my studies I have gathered a total of 6 years of data-related work experience, habe decent grades and am now … Hey everyone! I am new here. , the deep mathematical background … 10 votes, 15 comments. In this case, an FRM likely will not help. I’m trying to decide between following that path and becoming a more general data scientist, not necessarily working in finance, vs maybe doing CQF and really circling back to my original goal of … For senior data science roles outside of big tech I think a reasonable range to end up at is €70k-90k. But I clearly … 151 votes, 138 comments. Quantitative Analyst vs. A DA analyse historical data to extract insights. I was hoping to get some insights about what steps I can take to break into Quantitative Finance as an MS Data Science … Interviewed at a few different places and ended up passing on a Data Scientist job for a Senior Analyst role, and it mostly involves Excel, which I am very strong in (like most analysts). I might be underpaid compared to some of my … Being a quant regardless of field, alpha, risk, hedge, portfolio optimization is the ability to formulate a business problem and solving it in a quantitative data centric manner. . What's … With my undergraduate I could've gone into financial engineering/quant or operations research as well, either would've been a better option for me than SWE if data science wasn't possible. Some customers came in, did a project with the other two business units and after a year or two … A space for data science professionals to engage in discussions and debates on the subject of data science. Data scientist certainly can be more software engineering … Go for the Data Science or Data Analysis program instead. Yes—imo a lot of QR roles are more similar to machine learning engineer roles than product/business facing/consulting/straight up bullshit data science roles. Context about me: 33M, PhD in statistics (with a focus on … Data Scientist: Someone with extensive experience in data science, preferably in the banking or fintech industry. 1. What makes someone a 'Scientist'? then when you find that answer, try and apply it to 'Data Scientists", and you'd realize that 80-90% of data scientists are quants, statisticians, analysts, … Is a Berkeley Data Science undergrad paired with applied math or econ fit for a quant trading job? If so, which of the two double majors should I pursue for my best shot? Hey everyone, I’m (33) currently a quantitative analyst on track to become a data scientist. They will be responsible for setting the technical direction, leading projects, and mentoring … So, I decided to provide a review on the different types of quants to provide a review on that too. Econ major is helpful if you want to go into … Quants can exit into data science / ML roles in tech, risk management, fintech. They need to be good at descriptive analytics. In my experience (2 actuarial internships + 3 passed exams and ~2 yrs … Data science was still in its nascent stages and was more of a hybrid software engineering role at most places. Macs are known for their sleek design and user-friendly interface, while PCs offer … A lot of companies muddle the difference between the two, and some companies (esp FAANG) actually removed the term "Data Analyst" and replaced it with "Data Scientist". I got my undergraduate in math and a masters in business and data analytics (switched from the actuary track). 4K subscribers in the quant_hft community. Data scientist is … I am interested in pursuing a path to Quant work, would a CS/Stats or a CS/Applied Math degree be best approached for a role in the industry? I know with CS/Stats, if things fall … Average? Correct, average quant is smarter than the average FAANG engineer. Actuary vs Data Science vs Software Engineering: A brief guide Another reason why I created this sub was because of the ongoing discussions comparing actuarial careers to tech careers (specifically, … Following a tl;dr; table for you. If there please share your experience. I have some question in mind and would really appreciate you insights on this … A lot of universities are offering data science majors/programs because it's becoming a good cash cow - doesn't meet the programs are necessarily bad though. In your situation, it’s the best bang for your buck: 1) you are new to programming and Python is a good first language, 2) Python has a lot of libraries for data science and machine learning, and 3) Python is … If you consider a career in one the subjects, I would say that a data science career is possible after studying econometrics or actuarial science (actually rather common where I live). While this does seem intriguing to me with a statistics … Would it be crazy for me to switch? Especially if I am the type that likes structure, math, statistics, and only likes to do very light programming? People have mostly advised against it - saying I should try … They say don’t get a masters in analytics/data science but encourage the analytics @ Georgia Tech. While the MS in DS covers a good amount of computational methods, statistics, … Currently a data scientist and have a first year analyst offer for IB at a BB (BAML/Barclays/CS) and an offer to do data research/science at a large hedge fund. Worry about your own goals and domains that you want to get into and focus YOUR path for that. Generally speaking, MLEs tend to be more software engineering focused. : r/actuary r/actuary Current search is within r/actuary Remove r/actuary filter and expand search to all of Reddit I think finance will open more doors given the current market for data science gigs. Their strategists / quant is more focused on CS for data focused role and sales banking role would … What would be the difference between quantitative analyst and data science jobs. I decided to go the quant route as … I have been exploring the field of data science and ML and studying about it. Software Engineering Vs Quant Need a piece of advice preferably from experienced people. In fact there’s a lot of … The data science unit usually only did advanced DE work and/or actual data science (modelling etc). In general, a QR will build models modelling the market, … 41 votes, 31 comments. In big tech you can expect €80-100k base comp + 10-15% bonus / stocks. New comments cannot be posted and votes cannot be … We would like to show you a description here but the site won’t allow us. Data scientists can be more product focused and less technically demanding than quant researchers, who are essentially doing math 24/7. building a classification model on a sample dataset) or is more focused on data structures and algorithms? Given that there's … I wonder if there is increasingly more of data science or machine learning or deep learning in quantitative trading or finance ? In other words, the subject increasingly relies on data science and machine … Data Science, Software Developer, Software Engineer (SWE). Is it true that a Data Science job would be more inclined towards programming and a quantitative analyst … 100% agree although the math is a way to leverage another skill so definitely have something else that you are good at as well like programming / data science. You are recommending applying data science to gambling, you are still … Data science is about math, statistics, analysing data, creating reports / visualisations etc. But, 99% of the work is on the data (understanding the data and building features for Micro or using alt Data for more long term stuff) and … Not a data scientist but a data analyst working in a Swedish bank in the UK. In terms of pay per hours worked: SWE >>>>>>>>>> Data Science >= Actuary = Quant > Software Developer FACT. Hey, is anyone here who have switched from being developer to quant strategist in recent years. Does anyone know if that assessment consists of data science questions (e. Data science seems like it would set me up well for quant but finance would set me … I want to pursue something in the field of data science. I'm currently working as a software engineer in the data science team at a top investment bank. How different is data science / machine learning for the financial sector different from doing actual quantitative finance work? How is the adoption of machine learning or … In terms of salary, "data scientist" roles are usually higher paying than "data analyst" roles, but that can vary by company. ** Point 4: “Take home” salary vs … The standard level certifications are designed to get you to an entry level job as a Data Analyst/Data Scientist/Data Engineer. Preference : Math, Statistics, Operational research, computer science, (edge profile) Engineering … A space for data science professionals to engage in discussions and debates on the subject of data science. Of course in some domains, there are more important things than model … The research unit of my previous degree (quant business) was called decision science and had applied stat, operations research (OR), data science and information systems engineering under it. The highest offer I've gotten as a senior data scientist is about 140k. More often than not, ML PhDs end up as as mid-seniority Data Scientists in some rando company doing rando … I’m pretty new to quant finance, but it seems like a ton of stuff falls under the umbrella of ‘quant’. This is the first that I've heard … Either works, but I’d recommend math and data science. 82K subscribers in the quant community. If … Hi people, I am currently working as a software engineer in FAANG, and am contemplating moving to the quant research careers in the trading industry via a Masters in Financial Engineering / … 24 votes, 11 comments. Advice for moving from data science to quant research as a stats PhD I'm thinking about trying to switch from data science to quantitative research. Of course one shouldn't read it as "data science BAD" … Are you actually writing code? Familiar with pytorch/tensorflow? Know when to employ a random forest vs KNN? Physics/data science are pretty sexy degrees for quant roles. From reading a few thousand job postings over the last few months, it appears that most positions that were specifically recruited from econ … However, with the recent rise in 'big data' careers and the explosion in data science, I feel that perhaps a data science career may be more suited for me. From pricing various types of instruments (exotic options, bonds, derivatives, etc), to managing portfolios, … Data science in finance vs data science in tech. For anyone sufficiently … We would like to show you a description here but the site won’t allow us. Data Science vs. Academia was and continues to be getting more competitive at every stage of the process: … But many people who switch from a FAANG data scientist role are typically seeking 7 figure+ compensation as a front office quant. You can get data science jobs with either degree title, so the distinction that matters between programs is what you will learn from them. The high supply has made salaries for DS lower than DE (this is in UK btw). But it will definitely help if you can learn basic finance on your own. Consider whether you are more interested in conducting analyses … Data analysis focuses on examining data to uncover patterns and insights, while data science involves a broader range of skills, including advanced modeling and machine learning techniques. For example, may you start off with crime data, then … Discover the differences between quantitative analysts and data scientists, and how their unique skillsets shape various industries. Basically there's a huge overlap of the skills and techniques required as a quant vs. Every statistician, physics, CS, engineering or quant heavy graduates are trying to get into DS, which just explodes the … The competition for entry level data scientist positions is pretty intense right now, with the most successful applicants having graduate degrees (and often some previous experience). Actuary, however, … Hey so random haha. FAANG was hiring like crazy with huge comp packages and actuarial pay was … Flexibility: With a solid math background, you can branch out into diverse roles beyond data science, such as quantitative analysis, cryptography, actuarial science, or academic research. You could work your way into credit modelling and risk which are quantitative roles and require much of the same skillsets … In addition, quant finance is not investment banking so stop with this nonsense about "exit opportunities. Applied math might give you a chance to be more of a data scientist analyst rather than the data scientist … Hello people of Reddit,i have an engineering degree, however i am quite interested to break into quant roles (trader,developer) in US. And can’t believe I’m messaging this on Reddit now , but im Patrick konttinen , a Princeton alum (feel free to add me on … I have a chance to study econometrics and data science (it’s not a double major) at a bachelors level and possibly continuing with graduate level degrees. Grad: 2023 College: BE Tier 1 in India Years of Experience: 4 months FTE + 4 months Intern … Caught between data science and finance (trading). Hello all, I am looking into both of these fields for potential career path. It’s much easier to get hired as swe than quant at a hedge fund / prop trading firm, especially if you have a CS degree. I also have 2. We post interesting articles and we… 2/ whats the difference in work between a quant vs data scientist at large quant firms like twosigma/deshaw/citadel etc 3/ traditionally, quants and fundamental analysts are considered front … Been learning more data science, ML and mathematical programming from free online courses to prepare for just job and interviews, not getting replies for interviews (applied to ~10 roles, being ML … Is a Data Science Undergraduate Degree valuable in the quant world? Is pursuing an undergraduate degree in data science a valid choice for a career in quantitative finance, do employers in the … This laptop is powerful enough to handle the demands of data science and statistical analysis, with its high-end processor and generous amount of RAM. … So I'm in an interesting position where I 'accidentally' got a quant role at a large company when applying for a Data Science position. The SSD ensures quick boot times and fast file transfers, making it an ideal choice … Data Science tends to teach a bit of everything - computer science, cloud technologies, data structures, ml, but not great depth. I was planning to be a data engineer once I graduated and then eventually go to grad school to get a masters in either so I could try to earn a job … Also, there is a lot of cross-over with data science techniques such as Kalman filters, cluster analysis, and time series modelling. One needs to hire more Data Scientists if more new features are created to have dedicated, specialized Data Scientists to learn about the said feature and develop models for it (e. Quant trading requires a large set of skills within various disciplines, … We would like to show you a description here but the site won’t allow us. A minor in Computer Science or Business … Their data science courses cover topics relevant to finance, such as financial modeling, time series analysis, and quantitative finance, providing you with the skills needed to succeed in a data science … I am thinking of doing a masters in something related to data science and computer science. We would like to show you a description here but the site won’t allow us. I have read extensively on Quora and Reddit, as well as other platforms, regarding various aspects of career, but … Data Scientist to Quant: Data scientists interested in becoming quants should focus on gaining a deeper understanding of financial markets, derivatives pricing, and investment management principles. Data Scientist Masters of Science 5 yrs $108,000 per year $16,000 bonus Coppell, TX Considering my current options, looking… In my experience Quant roles are definitely more varied, you have some shops that are more like dedicated applied data-science orgs. Data analytics is something you can move around with for the rest of your life. It's great to meet you all. Search feature -> … 836 votes, 138 comments. Others are centered around delivering curated analytics and … The list of people beating the market is very small. It’s mostly building time series and stochastic models around … I recently graduated from a top (Ivy League caliber) university in the US with a major in industrial engineering and operations research and a minor (almost enough courses for a major) in … Otherwise you had to be top scoring in maths and data science related subjects. It feels like my data analyst job has more impact currently. When I do see it, it seems like a person who is either a) a data scientist but with a different name or b) a super-powered data analyst who does complex analysis but very little engineering or production … Definitely data science for buy side quant trading career. They employ a combination of programming, statistical analysis, and domain expertise to … For a career in quant or data science, a major in either Finance or Economics (with a focus on data analysis or mathematical economics) would be beneficial. Data science and data analytics are closely related fields but with distinct focuses. 2) Quant Researcher intern at a leading hedgefund in Chicago - project not decided yet. I want to change my career and work in data field - as data analyst or data engineer - which one would be better given my experience? Which one would… We would like to show you a description here but the site won’t allow us. The main difference, from what I've seen so far anyway, is that the analysts dig … A space for data science professionals to engage in discussions and debates on the subject of data science. Pixels are given discreet on/off or numeric color values. The main reason for this is that I want a job relating to data analytics afterwards. Based on the dataset, a career path in data science, particularly in a senior or managerial role within the finance or tech industry, and located in a major financial hub like … 283K subscribers in the devops community. Key differences between a Quantitative Analyst and a Data Scientist, exploring roles, skills, and career paths in finance and tech sectors. With all that being said, I still have no idea what to … Worked in various quant researcher, quant trader, data scientist, applied scientist, research scientist, etc. They … We would like to show you a description here but the site won’t allow us. I'm a buy side quant, so my experience may differ from other … Whether you're looking to become a Data Scientist or a Quant, understanding these differences and similarities will be crucial in navigating your career path effectively. Can't you remain in the data science or analytics field as an analytics/data science manager? Instead of writing the code or developing models, you get to manage the team and mentor others to be better data scientists. And can’t believe I’m messaging this on Reddit now , but im Patrick konttinen , a Princeton alum (feel free to add me on … Hey so random haha. The associate level certifications are designed for people who only do data … We would like to show you a description here but the site won’t allow us. The data science team at my firm (quant hedge fund) focuses on data platforms, data engineering, sourcing data, and processing data, all in collaboration with the quant research teams who use the … Do you mean quantitative development, or quantitative trading? The former is certainly doable with a solid CS resume, a lot of hires that go into quant dev at Two Sigma/Citadel/Jane Street also recruit … I went through r/csmajors and saw that many of those guys send out 200+ resumes without hearing a response back. My official title is a quant but a lot of my duties revolve around data … 1. I figured I can post a question here to gain some insight and advice as … Advice needed: Actuary vs Data Science So a bit about me: I studied Maths and Stats at uni and graduated a couple of years ago. " Yes, it's possible to move to transition to a data science role in tech or another field … The whole idea that quant is the most intellectually stimulating role in the world, is also bogus, from the standpoint that I’ve also talked to real data scientists, (who this subreddit likes to clown repeatedly), … In the end, a job in quant finance is never a given and forgoing multiple months of wages to study for quant recruiting cycle to potentially get a high paying job is risky. Again this is what got recruiters chasing and begging after the right candidates. Also does QB hold prestigious status? If I want to pursue a career in … My understanding is that data science searches for relationships in unexplained systems whereas operations research applies existing mathematical formulas to optimize systems. Just getting more into looking at quant careers, and am interested in the differences in pay between the types of quants… Earning $250K - $500K at an analyst level (i. I would say no, an actuary can't do the job of a data scientist and a data scientist could not do the job of an actuary (without training). E. If I choose to do Quantitative … 154 votes, 49 comments. But I’m was just on a Reddit thread from over a year ago. I am an incoming MS student deciding between programs. The market is mostly stochastic noise, good luck finding a signal that is real. Job titles can mean different things in different companies. Would it be unusual for a FAANG engineer (or data scientist) to be able make it as a quant? No. It can also be someone who does actual statistics, NLP, regression, neural networks, etc. Both DS and DA will usually be less hours than finance. You transform the data around and each cell in the notebook can … All in all, the transition from Big Tech to Quant happens relatively often, and your background is fine for most roles as long as you do well in interviews (which are significantly harder than Big Tech), you … Difference Data analyst and Data scientist I am a junior data analyst, working in a team together with data scientists. Archived post. Don’t really know about quant funds but I have a masters in financial engineering so I can speak about what really is a quant and it’s nothing to do with what you explained here. ML and Deep Learning is used extensively in Quant HF. … My first thought is that Law is a profession and Data Analytics is a tool. Data science involves using algorithms, tools, and techniques to extract insights and knowledge from structured and … Spending many years in designing and implementing different research approaches and models, I didn't get a chance to develop my skills in programming which makes me wonder and seek the similarities … We would like to show you a description here but the site won’t allow us. I wanted to ask what are the chances of breaking into these after … The main difference between a data analyst and data scientist is your job scope, then only your skills. 5 years of experience as a data scientist and am currently finishing my … I would like to know the following. Quants are really just glorified data scientists that specialise in finance, however, the finance side of things is easy to learn and you’ll discover that … I enjoy what I am doing now, but I essentially see two paths laid ahead of me for the future: Working in quantitative finance, as a quant analyst, quant dev, quant researcher, or trader Working anywhere … We would like to show you a description here but the site won’t allow us. Data Scientists, across Major Metropolitan Areas. You would still be in touch … No, the qualitative data is forced into a quantitative state through a one-hot encoding. Of course, you may very well grow to like it more. If I choose this major, there is a concentration … 27 votes, 19 comments. I won't disclose how much I … A: Data Science is typically statistics + business + CS. Also data science is suuuuper hot right now that requires a lot of … A space for data science professionals to engage in discussions and debates on the subject of data science. It's more focused on supporting the business when they need to make decisions - the company has some … From Data Scientist to Quant Hello, I am starting a new job as a quant in an international bank (treasury modeling hub). Hey guys, I wanted to post here to get some opinions about my likelihood of breaking into quant-like roles in risk management… I've been offered an opportunity to work as a researcher and scientist in quantum computing and I've been advised by some friends to study salaries in the field to make and informed salary offer. I’m currently debating between pursuing either a Masters in Data Science (MS-DS) or a Masters in Applied & Computational Math (MS-AM). A "data scientist" can be a simple data analyst using SQL to extract data, loosely use Python, make a power bi or tableau dashboard. I know data scientists with less experience than I do earn over 100k. I’ve heard that most quantitative finance roles today are essentially just data science-based but in the context of finance. The better the school you're in the more CS you're doing and the more suitable this is as training for quant work. I currently work in analytics with aspirations to become a Data Scientist but recently I have been thinking about … My role as a data analyst is a senior one and is fairly broad, which is mainly back office in terms of building database infrastructure but also involves producing automated analytics on client accounts … Then shouldn't all data scientist role be under QB? why are some roles posted as Mckinsey&Company and some posted under QB. I call them the data scientist and analyst, before the term was coined, it is essentially portfolio optimization and inefficiency finder. Math PhD vs Data science degree vs other quant grad degree? Hi! I've worked as a programmer in the research industry (not going to get more specific than that for anonymity purposes) for several years … Math PhD vs Data science degree vs other quant grad degree? Hi! I've worked as a programmer in the research industry (not going to get more specific than that for anonymity purposes) for several years … There is a lot of overlap between quant trader and quant researcher though, and where exactly the roles differ changes a bit from firm to firm. e. Software Developers vs.