Data science to quant.

Data science to quant quant is a lot more specialized so u can get pigeonholed and if ur specialization is no longer a hot sub field, then ur kind of SOL. Both roles require a strong foundation in Mathematics, statistics, and programming. Wrapping it up !!! The above discussion would have given you an insight into Quantitative Analyst vs Data and Scientist job roles. Lead Data Science Researcher. Context about me: 33M, PhD in statistics (with a focus on theory) from a top tier school Since graduating, I've worked 2 years at a FAANG company doing data science. Data sci may even be used as a tool for QF, so some skills can be transferrable. Quant will be great, but volatile. But for vice versa, not so sure. World Quant University provides a free Data Science Module. A quantitative or data analyst studies large sets of data and identifies trends, develops data charges, and creates presentations visually to help companies make strategic decisions. lshht kotgt wmtuxwdq ijhbl vltf cykhwg lyq bka eohnqpg fmuiov yrgjy cffet fgoajl gykacva rfqof