What is a Quant? - Financial Quantitative Analyst

In this video we discuss what a Financial Quantitative Analyst is and does! A Quant for short is someone who has deep knowledge of financial mathematics. This is a specific type of mathematics that relates to no arbitrage pricing and delves into Ito Calculus and some very difficult probability theory.

In my opinion (and I'd like to hear your thoughts in the comments section), a Financial Quant is someone who has developed a strong skillset in Probability & Statistics, Computer Science & Programming, and has a very strong understanding of Financial Mathematics.

Even though I have studied financial mathematics, I would not describe myself as a Quant! Feel free to check out my book recommendations below and please read the disclaimer.

Check out my website: https://quantpy.com.au

00:00 Intro
00:35 What is a Quant?
01:00 Quantitative skill set
03:20 Types of Financial Quants
05:37 Book Recommendations

★ ★ 📚 Book Recommendations 📚 ★ ★
📚 Stochastic Calculus for Finance I: The Binomial Asset Pricing Model
📚 Stochastic Calculus for Finance II: Continuous-Time Models
📚 Implementing Derivative Models
📚 Statistical Analysis of Financial Data in R

★ ★ QuantPy GitHub ★ ★
Collection of resources used on QuantPy YouTube channel. https://github.com/thequantpy

★ ★ Discord Community ★ ★
Join a small niche community of like-minded quants on discord.   / discord  

★ ★ Support our Patreon Community ★ ★
Get access to Jupyter Notebooks that can run in the browser without downloading python.
  / quantpy  

★ ★ ThetaData API ★ ★
ThetaData's API provides both realtime and historical options data for end-of-day, and intraday trades and quotes. Use coupon 'QPY1' to receive 20% off on your first month.
https://www.thetadata.net/

★ ★ Online Quant Tutorials ★ ★
WEBSITE: https://quantpy.com.au

★ ★ Contact Us ★ ★
EMAIL: [email protected]

Disclaimer: All ideas, opinions, recommendations and/or forecasts, expressed or implied in this content, are for informational and educational purposes only and should not be construed as financial product advice or an inducement or instruction to invest, trade, and/or speculate in the markets. Any action or refraining from action; investments, trades, and/or speculations made in light of the ideas, opinions, and/or forecasts, expressed or implied in this content, are committed at your own risk an consequence, financial or otherwise. As an affiliate of ThetaData, QuantPy Pty Ltd is compensated for any purchases made through the link provided in this description.