Quantitative Analyst Bootcamp
Become a Quant
The Great Age of Excel Spreadsheets has come to an end.
Now Wall Street needs Quants. Lots of them!
In order to compete with the best of the best on Wall Street, you’re going to need to know how to deal with timeseries data.
We’ll teach you everything you need to know in order to effectively and efficiently deal with financial timeseries data by utilizing some awesome 3rd party packages, and we’ll teach you how and why every calculation is performed along the way.
The Quant Bootcamp cruises through some of the most important concepts and models in quantitative finance, and we provide solid examples in Excel and/or R code for each section.
No prior programming experience is required, but it sure doesn’t hurt.
You’ll be up and running in no time!
All you need to do is apply. Do you dare?
- Installation & Programming Methods / Timeseries Basics / R
- Explain Warren Buffet’s Returns / Factor Analysis & Multivariate Regression / R
- Build Your Own Index / Quadratic Optimization / R
- Create an Autoregressive Trading Strategy / ARIMA / R
- Optimizing Your Portfolio Given Your Views / Markowtiz & Black-Litterman / R
- Build Your Own Robust Trading Strategy / Sector Rotation & Backtesting / R
- Modeling Interest Rates / Vasiceck Model / Excel
- Run Parallelized Simulations / Markov Chain Monte-Carlos / R & Excel
- Forecasting Volatility / Multivariate GARCH Models / R
- Pricing Derivatives / Black-Scholes & Heston Stochastic Volatility Model / R
Do I need to know R programming?
No, but it would help to have some knowledge of programming beforehand.
How long is each section?
Each section of the Bootcamp curriculum ranges from 30 minutes to an hour.
Will the source code be included?
Yes, and you can use it in pretty much any way you’d like.
When does the program run? How long will I have access?
Once you are accepted, you will always have access to the program resources and you can take as long as you need to get through all the content. We believe that everyone learns best at their own pace.
Who is the ideal candidate?
Ideal candidates for the Quant Bootcamp could range from a strong programmer in college or an incoming business student to a graduating MBA student or business professional looking for a high paying quantitative or data analytics job. Full time managers and financial services employees could also benefit from a quantitative skillset.
I’m not sure if I’m a strong enough R programmer…
Don’t you worry. We’ve got an introduction to R for finance course included in our curriculum. And we’ll walk you through every single line of code as we write it. And if that’s not enough, our friends over at DataCamp have some fantastic intro to R courses that should bring you up to speed.