Talking Tuesdays with Fancy Quant
The Talking Tuesdays Podcast is all about quantitative topics but mainly focused around quantitative finance, data science, machine learning, career development, and technical topics. Join me for some insight from a risk management professional on how the industry works and how to break in!
Talking Tuesdays with Fancy Quant
The Biggest LIE in Quant Finance
The biggest lie in quant finance is that you can do everything required at the highest level of a model. This includes data engineering, model development (quant research), implementation (quant dev), and be the end user (often a trader or operations team). This full stack quant does exist however they are never the best at everything and they often work in a very specific niche. Examples of a niche could be, auto loans, equity HFT, commodities, securitization, or etc. The systems, languages, math, stats, financial theory, and business uses are all different.
I would encourage people to focus on one main area (data engineer, quant, quant dev, or business user) and dig as deep as possible. There are a lot of topics inside of each of these and it is easier to jump around business types than to try and cover too many areas with non-overlapping skills.