No problem. Feel free to ask questions and connect on LinkedIn.

Thanks for being a part of the channel!

I'll put a list together and post it.

@@DimitriBianco Thanks. I know you're very busy, so no hurry. Also, I would be happy with just the ISBN numbers. That would speed things up for you too.

I have a video on 32 books coming out this Sunday. It will have book titles and links in the description. I broke the video up into different categories and I talk a little about each book as well.

@@DimitriBianco Thank you! I wasn't expecting this. :-)

I have a video on 32 books coming out this Sunday. It will have book titles and links in the description. I broke the video up into different categories and I talk a little about each book as well.

I'll consider it.

You can learning programming during a financial engineering masters however I encourage you to start learning R or Python online before you start the program. In general you will need to be functional for a job but you'll be happier and more productive at quant finance if you can program at a higher level.

I would recommend classes along the lines of these topics: Programming and Data Structures Logic Design Algorithms Object Oriented Programming Compiler Construction A class that most likely won't be useful is "Computer Architecture" however it is a very fascinating topic if you are interested in how computers actually work. MIT has a video series on KZfaq which covers this.

@@DimitriBianco Thank you Dimitri. Please continue sharing your knowledge!

Take a look at the description of the video linked below. I have my recommended books sorted by category. kzfaq.info/get/bejne/prWEm7F62bTZoXk.html

@@DimitriBianco thank you really much!

If you work in financial engineering (derivative creation) you will use numerical methods. The Black-Scholes is a closed form solution however any adjustments to the assumptions result in using numerical methods for solving the pricing equations. Yes, FDM can be used for these solutions (I don't actually work in this space but have knowledge from grad school).

The roles will be similar however the titles will be different. For example, you could be a model developer (in risk management) at a bank. At a hedge fund you would be called a model developer or researcher. Both have data that they are trying to model for profits. If you work in market risk the move to a trading firm is fairly easy however if you work in credit risk it will be more challenging because the models used and goals are different. Most people don't realize that the risk management department at banks are just quant teams. They have labeled them "risk" because the models we build help mitigate risk for regulations. The models used are for all kinds of things from pricing assets, to measuring expected losses, to predicting customer behavior. Validation teams manage the model risks. Meaning the risks behind an incorrect model structures, limitations, and weaknesses.

Thanks : )

This is a tough question to answer. Most for profit investing firms (excluding publicly traded banks) keep this information private. Also to make things worse, there are a lot of small players who don't properly calculate returns (gross vs risk adjusted). If you look at the article I linked below you can see the estimates for profits with the big successful quant finance firms which ranges from 6%-14.6% for 2018. www.cnbc.com/2019/01/04/hedge-fund-returns-in-2018-the-good-the-bad-the-ugly.html

I created another video where I briefly talk about the books. In the description I have the names and links to the books. The video is broken down by topics as well so you can focus on what type of books you are looking for. kzfaq.info/get/bejne/prWEm7F62bTZoXk.html

Below is a link I made on a reading list for quant finance. kzfaq.info/get/bejne/prWEm7F62bTZoXk.html