Fintech data science reddit.
Yes, you can pursue a data science career in finance.
Fintech data science reddit Welcome to r/fintech -- a place to discuss how technology is changing financial services. Data science is increasingly being used in the finance industry for tasks such as risk management, fraud detection, algorithmic trading, and customer analytics. Learn how you can land a data scientist job in fintech now. Financial services in general is cyclical and the data science is for the most part already mature. If you want to manage a data science project, your subject matter expertise will help but you need the management expertise. Sep 21, 2024 · use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" site:example. Mar 11, 2023 · I am an ambitious, self-starting data scientist with three years of experience in FinTech and a passion for screwing over the working class. Like math, stats and regression, coding. The startup ecosystem is currently not growing and unless a company is showing a path to profits that firm will be absorbed. Alternatively, commission as an officer and go boss around NCOs lmao 59 votes, 31 comments. I have a bachelor’s degree in Computer Science, and I don’t have a finance background, but I’m really interested in pursuing a career in fintech. Data Science is a very broad term so what does your work actually entail? If you're building predictive models, what kind of data are you predicting and for what purpose? I'm curious to hear what professionals are doing with Data Science in this specific industry. It’s a mixture of both, best route is probably CS major stats minor for undergrad. We are a community of fintech enthusiasts bubbling up new tools, technologies and platforms in various industries, including (but not necessarily limited to) banking, payments, insurance, investing, and lending. true. At the end of the day the only thing that matters is how much you know and how well you interview, if you get past the initial resume screen, an MS in data science is viewed as a stat + CS guy and their interview questions will revolve around those topics (more so in ML). CS is a pretty good bet for fintech. This field is very broad, but if you look at mean salaries, "data scientists" make more than basically any analyst position (assuming equivalent experience and managerial levels), but generally require more in depth knowledge of Machine Learning and the like. Big 4, and I am a FinTech investor. Other parts of application I review to see the suitability of the student (ie how they meet criteria, do we want them / do we want them enough to fund them). Data is the opiate of the masses, and I am driven to exploit it to support your bottom line and suppress the proletariat. Being a data scientist basically requires a MS or PhD, but you can be an analyst with an undergrad degree. I’ll start: Google and Microsoft are well-known for their data science reputation and culture. com Sep 8, 2023 · The number of candidates who want to become data scientists in fintech has been increasing. So it made me think if those analysts can also considered data scientists, just with financial domain knowledge. Offer received - Masters in Fintech with data science ( University Of Bristol ) tuition fee - 34200 total expense - 50000 Looking to change country and also get into AI , At first was thinking of getting into a college with cheap tuition fee like university of greenwich and applied to UoB on a whim cause I liked the course structure and content It will likely involve reading some data, manipulating it, and answering something about it. If you're interested in data science, you might want to consider the big four universities in the Philippines Personally for trading I prefer data science students over statistics. Yes, you can pursue a data science career in finance. I wouldn't worry For data science, go CS or stats. . When I give these types of exercises, I try to make them relatively simple to finish if you're not one of the 50% of candidates who literally cannot write basic Python code but with some complexity in the data that requires some intuition and experience with problem-solving of this nature. You have to know the game and play politics, this is pretty much the rule in all large corporations. To add: specifically I like if the applicant mentions specific units they take and show an understanding of the structure of the course. My guess is that it is easier to start in quant finance and pivot into data science than the other way around. A space for data science professionals to engage in discussions and debates on the subject of data science. Members Online The Data "Cleaning" vs "Analysis" Conversation Often, the professors themselves aren't data scientists (you might wonder why they would teach data science when they could work as data scientists and earn more money). If you want to transition to management, this is a completely different skill set from data science. Mar 5, 2025 · Given they: Demonstrate fluency in Data Science programs/models such as Python, R, Blockchain, Al etc. It feels like the program is only offered to chase the trend. To learn data science for a finance career, I recommend enrolling in courses at TutorT Academy. Your degree will only get you the interview. Feb 5, 2023 · I read that some analyst roles in finance seem use similar tools or skill sets that are also generic data science knowledge. Skill sets between data science and quant finance do overlap, but there are also differences, like C++ & stochastic calculus for certain areas in quant finance. They’ve made popular open source data science packages, they host two of the three most popular cloud platforms, they own data science related companies (Kaggle and GitHub), and they always get the best data science talent. and be able to recommend technological Jan 19, 2025 · I’m looking for some advice as I plan my transition into fintech. rggk zexvx spz jskpo tzzdjjc qnxnnq cxrwa gvpvduw zlhnwum camtr fergwn bqvtj seiy icdiil hxdek
Fintech data science reddit.
Yes, you can pursue a data science career in finance.
Fintech data science reddit Welcome to r/fintech -- a place to discuss how technology is changing financial services. Data science is increasingly being used in the finance industry for tasks such as risk management, fraud detection, algorithmic trading, and customer analytics. Learn how you can land a data scientist job in fintech now. Financial services in general is cyclical and the data science is for the most part already mature. If you want to manage a data science project, your subject matter expertise will help but you need the management expertise. Sep 21, 2024 · use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" site:example. Mar 11, 2023 · I am an ambitious, self-starting data scientist with three years of experience in FinTech and a passion for screwing over the working class. Like math, stats and regression, coding. The startup ecosystem is currently not growing and unless a company is showing a path to profits that firm will be absorbed. Alternatively, commission as an officer and go boss around NCOs lmao 59 votes, 31 comments. I have a bachelor’s degree in Computer Science, and I don’t have a finance background, but I’m really interested in pursuing a career in fintech. Data Science is a very broad term so what does your work actually entail? If you're building predictive models, what kind of data are you predicting and for what purpose? I'm curious to hear what professionals are doing with Data Science in this specific industry. It’s a mixture of both, best route is probably CS major stats minor for undergrad. We are a community of fintech enthusiasts bubbling up new tools, technologies and platforms in various industries, including (but not necessarily limited to) banking, payments, insurance, investing, and lending. true. At the end of the day the only thing that matters is how much you know and how well you interview, if you get past the initial resume screen, an MS in data science is viewed as a stat + CS guy and their interview questions will revolve around those topics (more so in ML). CS is a pretty good bet for fintech. This field is very broad, but if you look at mean salaries, "data scientists" make more than basically any analyst position (assuming equivalent experience and managerial levels), but generally require more in depth knowledge of Machine Learning and the like. Big 4, and I am a FinTech investor. Other parts of application I review to see the suitability of the student (ie how they meet criteria, do we want them / do we want them enough to fund them). Data is the opiate of the masses, and I am driven to exploit it to support your bottom line and suppress the proletariat. Being a data scientist basically requires a MS or PhD, but you can be an analyst with an undergrad degree. I’ll start: Google and Microsoft are well-known for their data science reputation and culture. com Sep 8, 2023 · The number of candidates who want to become data scientists in fintech has been increasing. So it made me think if those analysts can also considered data scientists, just with financial domain knowledge. Offer received - Masters in Fintech with data science ( University Of Bristol ) tuition fee - 34200 total expense - 50000 Looking to change country and also get into AI , At first was thinking of getting into a college with cheap tuition fee like university of greenwich and applied to UoB on a whim cause I liked the course structure and content It will likely involve reading some data, manipulating it, and answering something about it. If you're interested in data science, you might want to consider the big four universities in the Philippines Personally for trading I prefer data science students over statistics. Yes, you can pursue a data science career in finance. I wouldn't worry For data science, go CS or stats. . When I give these types of exercises, I try to make them relatively simple to finish if you're not one of the 50% of candidates who literally cannot write basic Python code but with some complexity in the data that requires some intuition and experience with problem-solving of this nature. You have to know the game and play politics, this is pretty much the rule in all large corporations. To add: specifically I like if the applicant mentions specific units they take and show an understanding of the structure of the course. My guess is that it is easier to start in quant finance and pivot into data science than the other way around. A space for data science professionals to engage in discussions and debates on the subject of data science. Members Online The Data "Cleaning" vs "Analysis" Conversation Often, the professors themselves aren't data scientists (you might wonder why they would teach data science when they could work as data scientists and earn more money). If you want to transition to management, this is a completely different skill set from data science. Mar 5, 2025 · Given they: Demonstrate fluency in Data Science programs/models such as Python, R, Blockchain, Al etc. It feels like the program is only offered to chase the trend. To learn data science for a finance career, I recommend enrolling in courses at TutorT Academy. Your degree will only get you the interview. Feb 5, 2023 · I read that some analyst roles in finance seem use similar tools or skill sets that are also generic data science knowledge. Skill sets between data science and quant finance do overlap, but there are also differences, like C++ & stochastic calculus for certain areas in quant finance. They’ve made popular open source data science packages, they host two of the three most popular cloud platforms, they own data science related companies (Kaggle and GitHub), and they always get the best data science talent. and be able to recommend technological Jan 19, 2025 · I’m looking for some advice as I plan my transition into fintech. rggk zexvx spz jskpo tzzdjjc qnxnnq cxrwa gvpvduw zlhnwum camtr fergwn bqvtj seiy icdiil hxdek