Data analyst to quant reddit. Think about your average pay in insurance vs

Smaller day-to-day responsibilities revolved primarily around data simplification and analytics. This is usually a more theoretical role that requires an advanced degree in Math, Stats, CS, Physics, etc. Does anyone have experiencing incorporating quant/statistical techniques in both improving fundamental analysis (e. Hello everyone! I am interested in finding an entry level quantitative analysis/researcher job, but I don’t have any previous… Generally speaking, both 'data scientist' and 'quant' have very different meanings across different companies and industries. What is Nov 12, 2025 · Let's break down what it takes to transition from a financial analyst role to becoming a full-fledged quant, tapping into the wisdom shared across Reddit communities. I am looking for some advice on getting started in quantitative analysis. 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. g. I’ve taken one actuary exam, was a data scientist, and now I’m a quant. Anyone with some type of quant degree could do analyst work. I currently work as a Business Process Analyst focusing on improving processes, eliminating waist, and providing ad hoc data analysis request. We would like to show you a description here but the site won’t allow us. You at least have that. TA practicioners are more often doing something relevant in a way that is usually obvious whether it turns out to be rigorous enough to repeatably depend upon is the tougher call. Think about your average pay in insurance vs. You have risk quants, quant developers, quant traders, quant analysts, etc. In general, a QR will build models modelling the market, economics, individual assets, trading strategies and pricing derivatives etc. 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. It is very hard to move between asset classes and frequencies. Now, With this post I aim to gain industry insights. I recently got assigned a QuantHub assessment for modeling, statistics, and Python for a McKinsey undergrad Data Science Analyst position. 13 votes, 26 comments. I have had interviews for quant positions and they are mostly brain teasers, IQ tests, the required knowledge is C++, stochastic calculus, algorithms. 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. Currently looking for roles as a Risk analyst. However, I can't decide whether I should follow data science or finance analyst career. linear regression of mobility data to nowcast gasoline demand) and building trading models (either systematic or discretionary e. The techniques are quite different from those in derivatives pricing. Got pymetrics game yesterday (I completed it). How to go from credit risk data scientist to quant analyst/trader So I have about 5 years of experience in credit risk data science, I mainly develop scoring models and time series models. Even within the quant space there is very little optionality. New comments cannot be posted and votes cannot be cast. If I do data science should I focus more on a stats emphasis or on a computer science emphasis? I was looking at Jane Street's posting for quant research, and I noticed their base salary goes up to 300k for quant research. Appreciate every input! If you're shooting for more analytical roles - data analyst, product analyst, data scientist - then you probably won't get actual leetcode, and are more likely to get SQL style coding questions or take homes. Recently, I interned as a data analyst on an ESG rating team. public university with a degree in maths & stats. May 2, 2006 · 2025 Masters Summer Internship – Portfolio Management, Quantitative Research Analyst PIMCO is a global leader in active fixed income. Works closely with quant traders and quant developers (high overlaps in roles) Can be subdivided based on financial market and/or fund type, changes based on amount of overlaps with quant traders and quant developers I graduated college with a degree in economics with a focus in econometrics. QTs take this, apply to it to their individual circumstances, adapt Global Quant Analyst new grad 2024 Bank of America Hello! I’m considering the new grad 2024 global quant analyst program at Bank of America - I had some questions for anyone that’s in it currently and is willing to share: For those working in ATL or Charlotte, is the position hybrid, remote, or fully in office? Both can handle data science tasks effectively, but Macs are favored for their Unix-based operating system and seamless integration with data science tools. 144 votes, 35 comments. For example, at Meta, Data Scientists are essentially SQL/dashboard/analytics folks while at Google Data Scientists are typically stats and ML modelers.

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