Data analyst to quant reddit. Currently looking for roles as a Risk analyst.

Data analyst to quant reddit Currently looking for roles as a Risk analyst. I call them the data scientist and analyst, before the term was coined, it is essentially portfolio optimization and inefficiency finder. You can be a quant, or you can be a statistician, or a data analyst, or specialize in ML architecture, software engineering or development, etc. #1 is my very first option and what I would like to do and #2 is more so of a backup. As in the quants were responsible for the ideas/theories for alpha generation, and the developers did all the programming. Interesting. Is this realistic for me? Nov 20, 2024 · Lately, I’ve been considering a career pivot into data analytics, as I think it might align better with my personality and interests. This is usually a more theoretical role that requires an advanced degree in Math, Stats, CS, Physics, etc. As far as semantics go, maybe you could land a job labeled as "quant" with just a math undergrad, but that's equivalent to landing a "data scientist" job with a BA in psychology and two humanities-department stats classes under your belt. Quant Researcher/Quant Research Analyst/Quant Analyst: Analyst appears to be a legacy term from the days when most quant teams were inside of investment banks. I've done quite some research what a quant is & what are some necessary backgrounds & knowledge to be successful in this position, ex: solid understanding in mathematical & statistical models, programming & finance related I believe there is less competition for core quant analysts. Jan 10, 2025 · I just finished my undergrad in CS from Georgia State University with a subpar GPA (3. I have analysed time series data and built predictive models and understand machine learning and AI structures on a deeper level. I started with learning vba and then moved onto python. this will get you a generic data analyst/ analytics analyst spot. So to take home 8 figures, you're going to need to generate at least $50-$100 million in pnl (think about it as a 10-20 percent return on $500m). 0) and I’m gonna start preparing for my masters program soon (aiming for Fall 2026) and I’ve recently been interested in the quantitative finance side of things, specifically trading. And most roles will require some leetcode interviewing which the average data analyst will struggle with. They are both giving me the same base salary but I am curious about what others think of the opportunities and potential career path (especially the Quantitative Analyst path/seniority levels). I am a Data Analyst for a reputable Wealth Management firm currently in my late 20s, with a background in Wealth, Asset Management & PE Consulting from a small unknown consulting firm but worked with several blue chip clients in the industry. With the rise of AI, code generation, text based prompts, IMHO Both fields will be obsolete in 10 years. Like I said, it gives you the tools you need to pursue any STEM field that you desire and it's up to you to really choose the area you want to focus on, and, as you could probably guess, I chose quant The latter is a quantitative researcher and fits the bill. I've met quant analysts in hedge funds and for one particular HF, the roles of the quant analysts and programmers were seperate. I was recently transferred internally from being a data analyst to a new quant team which our company just newly setup. How should I break in I have started understand about options, volatility etc. This is probably quite a common question in this thread but I feel my situation is a little nuanced. Data science will be more stable. Dec 23, 2024 · A master’s in econometrics/quantitative finance or financial engineering are probably the most common degrees for quant researchers, but you’ll see plenty of people with maths, stats, physics, engineering, computer science backgrounds too (as long as it involves heavy maths) Aug 20, 2021 · What are your general thoughts on pivoting into a quantitative researcher (or more junior quantitative analyst) roles while in the middle of a part time masters degree? Is this rare, or fairly common? What general advice would you have for someone interested in taking this path? Specialize in quant and learn the basics of the data science field. A data science analyst, in my humble experience and opinion, doesn't nearly have the math skills required to be effective at that job, even for an internship. Here is a bit about the companies: Company A: Role: Data scientist $10,000 signing bonus (repaid if leaving the company after 2 years) Model Validation Quantitative Analyst: Also known as a middle office quantitative analyst, or back office quantitative analyst Found in investment banks, and commercial/retail banks Requires a BSc, usually a BSc (Hons), MSc and PhDs are preferable Annual Total Compensation: $70,000-80,000 (start), $150,000-200,000 (experienced) I graduated college with a degree in economics with a focus in econometrics. its like 2 hours of work a day maybe and salary 100k+. Working in quantitative finance, as a quant analyst, quant dev, quant researcher, or trader Working anywhere besides quant finance, as a data scientist. To prepare, I’m planning to do some self-study and earn certifications, potentially the Google Data Analytics or IBM Data Analyst certification. Quant PMs generally receive between 10-20 percent of generated PNL as a bonus (after paying your team plus other expenses like data, compute, software licenses, etc). Preference: Math, Statistics, Operational research, computer science, (edge profile) Engineering Capital Quant A capital quant works on modelling the bank’s credit exposures and capital requirements. Quant will be great, but volatile. I started working as a data analyst right after college. My recommendations (from my limited knowledge) on transitioning would be to 1) market your current actuarial experience as "data analyst" experience, 2) learn Python (specifically build projects with pandas, sklearn, plotly, and streamlit), and 3) take as many free machine learning courses as you can. . Now, With this post I aim to gain industry insights. Researchers are responsible for developing trading strategies. I plan to work as a risk analyst until I finish grad school (master in applied statistics, part time student) before applying do a quantitative analyst role. Tableau is easy as f to learn adn sql is needed if you have to work with databases, most of my work is automating reports or building automation to do low level work. btnertet vice svfzsx czuqtmq idmzu znaza bjp hikwuj gre rjaxq oiyy sle rrqgkw rut zlaydwq